[{"quality_controlled":"1","abstract":[{"lang":"eng","text":"In this paper we present our experimental results about classifying audio data into broad acoustic categories. The reverberated sound samples from indoor recordings are grouped into four classes, namely speech, music, acoustic events and noise. We investigated a total of 188 acoustic features and achieved for the best configuration a classification accuracy better than 98\\%. This was achieved by a 42-dimensional feature vector consisting of Mel-Frequency Cepstral Coefficients, an autocorrelation feature and so-called track features that measure the length of ''traces'' of high energy in the spectrogram. We also found a 4-feature configuration with a classification rate of about 90\\% allowing for broad acoustic category classification with low computational effort."}],"citation":{"mla":"Schmalenstroeer, Joerg, et al. “Investigations into Features for Robust Classification into Broad Acoustic Categories.” <i>37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>, 2011.","ama":"Schmalenstroeer J, Bartek M, Haeb-Umbach R. Investigations into Features for Robust Classification into Broad Acoustic Categories. In: <i>37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>. ; 2011.","bibtex":"@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Investigations into Features for Robust Classification into Broad Acoustic Categories}, booktitle={37. Deutsche Jahrestagung fuer Akustik (DAGA 2011)}, author={Schmalenstroeer, Joerg and Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }","apa":"Schmalenstroeer, J., Bartek, M., &#38; Haeb-Umbach, R. (2011). Investigations into Features for Robust Classification into Broad Acoustic Categories. <i>37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>.","ieee":"J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Investigations into Features for Robust Classification into Broad Acoustic Categories,” 2011.","chicago":"Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Investigations into Features for Robust Classification into Broad Acoustic Categories.” In <i>37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011)</i>, 2011.","short":"J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011."},"publication":"37. Deutsche Jahrestagung fuer Akustik (DAGA 2011)","department":[{"_id":"54"}],"oa":"1","type":"conference","date_created":"2019-04-25T14:36:02Z","date_updated":"2023-10-26T08:15:44Z","author":[{"id":"460","full_name":"Schmalenstroeer, Joerg","first_name":"Joerg","last_name":"Schmalenstroeer"},{"last_name":"Bartek","first_name":"Markus","full_name":"Bartek, Markus"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"year":"2011","title":"Investigations into Features for Robust Classification into Broad Acoustic Categories","status":"public","user_id":"460","language":[{"iso":"eng"}],"_id":"9456","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-1.pdf"}]},{"date_created":"2019-07-12T05:27:04Z","department":[{"_id":"54"}],"oa":"1","type":"conference","keyword":["altitude measurement unit","barometers","barometric altimeter","barometric error Kalman filter","barometric height estimation","direct cosine matrix","global positioning system","Global Positioning System","GPS device","height information","height measurement","inertial measurement unit","Kalman filters","loosely-coupled error state space Kalman filter","loosely-coupled Kalman-filter","map matching","robust information","robust location estimation","sensor fusion","topographic map information","vertical user position"],"citation":{"short":"M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.","chicago":"Bevermeier, Maik, Oliver Walter, Sven Peschke, and Reinhold Haeb-Umbach. “Barometric Height Estimation Combined with Map-Matching in a Loosely-Coupled Kalman-Filter.” In <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>, 128–34, 2010. <a href=\"https://doi.org/10.1109/WPNC.2010.5650745\">https://doi.org/10.1109/WPNC.2010.5650745</a>.","apa":"Bevermeier, M., Walter, O., Peschke, S., &#38; Haeb-Umbach, R. (2010). Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. In <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i> (pp. 128–134). <a href=\"https://doi.org/10.1109/WPNC.2010.5650745\">https://doi.org/10.1109/WPNC.2010.5650745</a>","ieee":"M. Bevermeier, O. Walter, S. Peschke, and R. Haeb-Umbach, “Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter,” in <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>, 2010, pp. 128–134.","ama":"Bevermeier M, Walter O, Peschke S, Haeb-Umbach R. Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. In: <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>. ; 2010:128-134. doi:<a href=\"https://doi.org/10.1109/WPNC.2010.5650745\">10.1109/WPNC.2010.5650745</a>","bibtex":"@inproceedings{Bevermeier_Walter_Peschke_Haeb-Umbach_2010, title={Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter}, DOI={<a href=\"https://doi.org/10.1109/WPNC.2010.5650745\">10.1109/WPNC.2010.5650745</a>}, booktitle={7th Workshop on Positioning Navigation and Communication (WPNC 2010)}, author={Bevermeier, Maik and Walter, Oliver and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2010}, pages={128–134} }","mla":"Bevermeier, Maik, et al. “Barometric Height Estimation Combined with Map-Matching in a Loosely-Coupled Kalman-Filter.” <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>, 2010, pp. 128–34, doi:<a href=\"https://doi.org/10.1109/WPNC.2010.5650745\">10.1109/WPNC.2010.5650745</a>."},"publication":"7th Workshop on Positioning Navigation and Communication (WPNC 2010)","abstract":[{"lang":"eng","text":"In this paper we present a robust location estimation algorithm especially focused on the accuracy in vertical position. A loosely-coupled error state space Kalman filter, which fuses sensor data of an Inertial Measurement Unit and the output of a Global Positioning System device, is augmented by height information from an altitude measurement unit. This unit consists of a barometric altimeter whose output is fused with topographic map information by a Kalman filter to provide robust information about the current vertical user position. These data replace the less reliable vertical position information provided the GPS device. It is shown that typical barometric errors like thermal divergences and fluctuations in the pressure due to changing weather conditions can be compensated by the topographic map information and the barometric error Kalman filter. The resulting height information is shown not only to be more reliable than height information provided by GPS. It also turns out that it leads to better attitude and thus better overall localization estimation accuracy due to the coupling of spatial orientations via the Direct Cosine Matrix. Results are presented both for artificially generated and field test data, where the user is moving by car."}],"language":[{"iso":"eng"}],"_id":"11726","page":"128-134","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/BeWaPeHa10.pdf","open_access":"1"}],"user_id":"44006","doi":"10.1109/WPNC.2010.5650745","author":[{"last_name":"Bevermeier","first_name":"Maik","full_name":"Bevermeier, Maik"},{"first_name":"Oliver","last_name":"Walter","full_name":"Walter, Oliver"},{"first_name":"Sven","last_name":"Peschke","full_name":"Peschke, Sven"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"status":"public","year":"2010","title":"Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter","date_updated":"2022-01-06T06:51:07Z"},{"_id":"11846","page":"1692-1707","volume":18,"user_id":"44006","status":"public","oa":"1","citation":{"mla":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, 2010, pp. 1692–707, doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>.","bibtex":"@article{Krueger_Haeb-Umbach_2010, title={Model-Based Feature Enhancement for Reverberant Speech Recognition}, volume={18}, DOI={<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>}, number={7}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010}, pages={1692–1707} }","ama":"Krueger A, Haeb-Umbach R. Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2010;18(7):1692-1707. doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>","ieee":"A. Krueger and R. Haeb-Umbach, “Model-Based Feature Enhancement for Reverberant Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, pp. 1692–1707, 2010.","apa":"Krueger, A., &#38; Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>18</i>(7), 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>","short":"A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.","chicago":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 18, no. 7 (2010): 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>."},"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/KrHa10.pdf"}],"doi":"10.1109/TASL.2010.2049684","author":[{"first_name":"Alexander","last_name":"Krueger","full_name":"Krueger, Alexander"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"year":"2010","title":"Model-Based Feature Enhancement for Reverberant Speech Recognition","intvolume":"        18","date_updated":"2022-01-06T06:51:11Z","date_created":"2019-07-12T05:29:23Z","department":[{"_id":"54"}],"type":"journal_article","keyword":["ASR","AURORA5 database","automatic speech recognition","Bayesian inference","belief networks","CMLLR","computational complexity","constrained maximum likelihood linear regression","least mean squares methods","LMPSC computation","logarithmic Mel power spectrum","maximum likelihood estimation","Mel frequency cepstral coefficients","MFCC feature vectors","microphone signal","minimum mean square error estimation","model-based feature enhancement","regression analysis","reverberant speech recognition","reverberation","RIR energy","room impulse response","speech recognition","stochastic observation model","stochastic processes"],"issue":"7","publication":"IEEE Transactions on Audio, Speech, and Language Processing","abstract":[{"lang":"eng","text":"In this paper, we present a new technique for automatic speech recognition (ASR) in reverberant environments. Our approach is aimed at the enhancement of the logarithmic Mel power spectrum, which is computed at an intermediate stage to obtain the widely used Mel frequency cepstral coefficients (MFCCs). Given the reverberant logarithmic Mel power spectral coefficients (LMPSCs), a minimum mean square error estimate of the clean LMPSCs is computed by carrying out Bayesian inference. We employ switching linear dynamical models as an a priori model for the dynamics of the clean LMPSCs. Further, we derive a stochastic observation model which relates the clean to the reverberant LMPSCs through a simplified model of the room impulse response (RIR). This model requires only two parameters, namely RIR energy and reverberation time, which can be estimated from the captured microphone signal. The performance of the proposed enhancement technique is studied on the AURORA5 database and compared to that of constrained maximum-likelihood linear regression (CMLLR). It is shown by experimental results that our approach significantly outperforms CMLLR and that up to 80\\% of the errors caused by the reverberation are recovered. In addition to the fact that the approach is compatible with the standard MFCC feature vectors, it leaves the ASR back-end unchanged. It is of moderate computational complexity and suitable for real time applications."}]},{"date_created":"2019-07-12T05:29:36Z","department":[{"_id":"54"}],"oa":"1","type":"conference","citation":{"ieee":"V. Leutnant and R. Haeb-Umbach, “Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR,” in <i>36. Deutsche Jahrestagung fuer Akustik (DAGA 2010)</i>, 2010.","apa":"Leutnant, V., &#38; Haeb-Umbach, R. (2010). Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR. In <i>36. Deutsche Jahrestagung fuer Akustik (DAGA 2010)</i>.","short":"V. Leutnant, R. Haeb-Umbach, in: 36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010), 2010.","chicago":"Leutnant, Volker, and Reinhold Haeb-Umbach. “Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR.” In <i>36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010)</i>, 2010.","mla":"Leutnant, Volker, and Reinhold Haeb-Umbach. “Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR.” <i>36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010)</i>, 2010.","bibtex":"@inproceedings{Leutnant_Haeb-Umbach_2010, title={Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR}, booktitle={36. Deutsche Jahrestagung fuer Akustik (DAGA 2010)}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2010} }","ama":"Leutnant V, Haeb-Umbach R. Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR. In: <i>36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010)</i>. ; 2010."},"publication":"36. Deutsche Jahrestagung fuer Akustik (DAGA 2010)","abstract":[{"text":"Traditionally, ASR systems are based on hidden Markov models with Gaussian mixtures modelling the state-conditioned feature distribution. The inherent assumption of conditional independence, stating that a feature's likelihood solely depends on the current HMM state, makes the search computationally tractable, nevertheless has also been identified to be a major reason for the lack of robustness of such systems. Linear dynamic models have been proposed to overcome this weakness by employing a hidden dynamic state process underlying the observed features. Though performance of linear dynamic models on continuous speech/phone recognition tasks has been shown to be superior to that of equivalent static models, this approach still cannot compete with the established acoustic models. In this paper we consider the combination of hidden Markov models based on Gaussian mixture densities (GMM-HMMs) and linear dynamic models (LDMs) as the acoustic model for automatic speech recognition systems. In doing so, the individual strengths of both models, i.e. the modelling of long-term temporal dependencies by the GMM-HMM and the direct modelling of statistical dependencies between consecutive feature vectors by the LDM, are exploited. Phone classification experiments conducted on the TIMIT database indicate the prospective use of this approach for the application to continuous speech recognition.","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"11857","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/LeHa10-1.pdf"}],"user_id":"44006","author":[{"full_name":"Leutnant, Volker","first_name":"Volker","last_name":"Leutnant"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"title":"Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR","status":"public","year":"2010","date_updated":"2022-01-06T06:51:11Z"},{"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/LeHa10-2.pdf"}],"language":[{"iso":"eng"}],"_id":"11858","date_updated":"2022-01-06T06:51:11Z","status":"public","title":"On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition","year":"2010","author":[{"first_name":"Volker","last_name":"Leutnant","full_name":"Leutnant, Volker"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"type":"conference","oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:29:37Z","abstract":[{"lang":"eng","text":"Linear dynamic models (LDMs) have been shown to be a viable alternative to hidden Markov models (HMMs) on small-vocabulary recognition tasks, such as phone classification. In this paper we investigate various statistical model combination approaches for a hybrid HMM-LDM recognizer, resulting in a phone classification performance that outperforms the best individual classifier. Further, we report on continuous speech recognition experiments on the AURORA4 corpus, where the model combination is carried out on wordgraph rescoring. While the hybrid system improves the HMM system in the case of monophone HMMs, the performance of the triphone HMM model could not be improved by monophone LDMs, asking for the need to introduce context-dependency also in the LDM model inventory."}],"publication":"Interspeech 2010","citation":{"mla":"Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition.” <i>Interspeech 2010</i>, 2010.","bibtex":"@inproceedings{Leutnant_Haeb-Umbach_2010, title={On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition}, booktitle={Interspeech 2010}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2010} }","ama":"Leutnant V, Haeb-Umbach R. On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition. In: <i>Interspeech 2010</i>. ; 2010.","ieee":"V. Leutnant and R. Haeb-Umbach, “On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition,” in <i>Interspeech 2010</i>, 2010.","apa":"Leutnant, V., &#38; Haeb-Umbach, R. (2010). On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition. In <i>Interspeech 2010</i>.","short":"V. Leutnant, R. Haeb-Umbach, in: Interspeech 2010, 2010.","chicago":"Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition.” In <i>Interspeech 2010</i>, 2010."}},{"date_updated":"2022-01-06T06:51:11Z","author":[{"full_name":"Raj, Bhiksha","first_name":"Bhiksha","last_name":"Raj"},{"full_name":"Wilson, Kevin W.","first_name":"Kevin W.","last_name":"Wilson"},{"first_name":"Alexander","last_name":"Krueger","full_name":"Krueger, Alexander"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"status":"public","year":"2010","title":"Ungrounded Independent Non-Negative Factor Analysis","user_id":"44006","_id":"11887","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/RaWiKrHa10.pdf","open_access":"1"}],"abstract":[{"text":"We describe an algorithm that performs regularized non-negative matrix factorization (NMF) to find independent components in non-negative data. Previous techniques proposed for this purpose require the data to be grounded, with support that goes down to 0 along each dimension. In our work, this requirement is eliminated. Based on it, we present a technique to find a low-dimensional decomposition of spectrograms by casting it as a problem of discovering independent non-negative components from it. The algorithm itself is implemented as regularized non-negative matrix factorization (NMF). Unlike other ICA algorithms, this algorithm computes the mixing matrix rather than an unmixing matrix. This algorithm provides a better decomposition than standard NMF when the underlying sources are independent. It makes better use of additional observation streams than previous non-negative ICA algorithms.","lang":"eng"}],"citation":{"mla":"Raj, Bhiksha, et al. “Ungrounded Independent Non-Negative Factor Analysis.” <i>Interspeech 2010</i>, 2010.","bibtex":"@inproceedings{Raj_Wilson_Krueger_Haeb-Umbach_2010, title={Ungrounded Independent Non-Negative Factor Analysis}, booktitle={Interspeech 2010}, author={Raj, Bhiksha and Wilson, Kevin W. and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010} }","ama":"Raj B, Wilson KW, Krueger A, Haeb-Umbach R. Ungrounded Independent Non-Negative Factor Analysis. In: <i>Interspeech 2010</i>. ; 2010.","ieee":"B. Raj, K. W. Wilson, A. Krueger, and R. Haeb-Umbach, “Ungrounded Independent Non-Negative Factor Analysis,” in <i>Interspeech 2010</i>, 2010.","apa":"Raj, B., Wilson, K. W., Krueger, A., &#38; Haeb-Umbach, R. (2010). Ungrounded Independent Non-Negative Factor Analysis. In <i>Interspeech 2010</i>.","chicago":"Raj, Bhiksha, Kevin W. Wilson, Alexander Krueger, and Reinhold Haeb-Umbach. “Ungrounded Independent Non-Negative Factor Analysis.” In <i>Interspeech 2010</i>, 2010.","short":"B. Raj, K.W. Wilson, A. Krueger, R. Haeb-Umbach, in: Interspeech 2010, 2010."},"publication":"Interspeech 2010","oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:30:10Z"},{"date_created":"2019-07-12T05:30:39Z","type":"conference","oa":"1","department":[{"_id":"54"}],"publication":"International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)","citation":{"ieee":"D. H. Tran Vu and R. Haeb-Umbach, “An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression,” in <i>International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)</i>, 2010.","apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression. In <i>International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)</i>.","short":"D.H. Tran Vu, R. Haeb-Umbach, in: International Workshop on Acoustic Echo and Noise Control (IWAENC 2010), 2010.","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression.” In <i>International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)</i>, 2010.","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression.” <i>International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)</i>, 2010.","bibtex":"@inproceedings{Tran Vu_Haeb-Umbach_2010, title={An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression}, booktitle={International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010} }","ama":"Tran Vu DH, Haeb-Umbach R. An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression. In: <i>International Workshop on Acoustic Echo and Noise Control (IWAENC 2010)</i>. ; 2010."},"abstract":[{"lang":"eng","text":"In this contribution we provide a unified treatment of blind source separation (BSS) and noise suppression, two tasks which have traditionally been considered different and for which quite different techniques have been developed. Exploiting the sparseness of the sources in the short time frequency domain and using a probabilistic model which accounts for the presence of additive noise and which captures the spatial information of the multi-channel recording, a speech enhancement system is developed which suppresses noise and simultaneously separates speakers in case multiple speakers are active. Source activity estimation and model parameter estimation form the E-step and the M-step of the Expectation Maximization algorithm, respectively. Experimental results obtained on the dataset of the Signal Separation Evaluation Campaign 2010 demonstrate the effectiveness of the proposed system."}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-1.pdf"}],"language":[{"iso":"eng"}],"_id":"11912","user_id":"44006","title":"An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression","year":"2010","status":"public","author":[{"full_name":"Tran Vu, Dang Hai","last_name":"Tran Vu","first_name":"Dang Hai"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"}],"date_updated":"2022-01-06T06:51:12Z"},{"author":[{"first_name":"Dang Hai","last_name":"Tran Vu","full_name":"Tran Vu, Dang Hai"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"status":"public","title":"Blind speech separation employing directional statistics in an Expectation Maximization framework","year":"2010","date_updated":"2022-01-06T06:51:12Z","language":[{"iso":"eng"}],"_id":"11913","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf"}],"page":"241-244","user_id":"44006","doi":"10.1109/ICASSP.2010.5495994","citation":{"ama":"Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>. ; 2010:241-244. doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>","bibtex":"@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation employing directional statistics in an Expectation Maximization framework}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010}, pages={241–244} }","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–44, doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>.","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 241–44, 2010. <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>.","short":"D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.","apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i> (pp. 241–244). <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>","ieee":"D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional statistics in an Expectation Maximization framework,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–244."},"publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)","abstract":[{"text":"In this paper we propose to employ directional statistics in a complex vector space to approach the problem of blind speech separation in the presence of spatially correlated noise. We interpret the values of the short time Fourier transform of the microphone signals to be draws from a mixture of complex Watson distributions, a probabilistic model which naturally accounts for spatial aliasing. The parameters of the density are related to the a priori source probabilities, the power of the sources and the transfer function ratios from sources to sensors. Estimation formulas are derived for these parameters by employing the Expectation Maximization (EM) algorithm. The E-step corresponds to the estimation of the source presence probabilities for each time-frequency bin, while the M-step leads to a maximum signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about the source activity. Experimental results are reported for an implementation in a generalized sidelobe canceller (GSC) like spatial beamforming configuration for 3 speech sources with significant coherent noise in reverberant environments, demonstrating the usefulness of the novel modeling framework.","lang":"eng"}],"date_created":"2019-07-12T05:30:40Z","department":[{"_id":"54"}],"oa":"1","type":"conference","keyword":["array signal processing","blind source separation","blind speech separation","complex vector space","complex Watson distribution","directional statistics","expectation-maximisation algorithm","expectation maximization algorithm","Fourier transform","Fourier transforms","generalized sidelobe canceller","interference suppression","maximum signal-to-noise ratio beamformer","microphone signal","probabilistic model","spatial aliasing","spatial beamforming configuration","speech enhancement","statistical distributions"]},{"oa":"1","quality_controlled":"1","citation":{"ieee":"J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual Data for Smart Environments,” <i>IEEE Journal of Selected Topics in Signal Processing</i>, vol. 4, no. 5, pp. 845–856, 2010, doi: <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>.","apa":"Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2010). Online Diarization of Streaming Audio-Visual Data for Smart Environments. <i>IEEE Journal of Selected Topics in Signal Processing</i>, <i>4</i>(5), 845–856. <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">https://doi.org/10.1109/JSTSP.2010.2050519</a>","chicago":"Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” <i>IEEE Journal of Selected Topics in Signal Processing</i> 4, no. 5 (2010): 845–56. <a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">https://doi.org/10.1109/JSTSP.2010.2050519</a>.","short":"J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856.","mla":"Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” <i>IEEE Journal of Selected Topics in Signal Processing</i>, vol. 4, no. 5, 2010, pp. 845–56, doi:<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>.","bibtex":"@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>}, number={5}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2010}, pages={845–856} }","ama":"Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual Data for Smart Environments. <i>IEEE Journal of Selected Topics in Signal Processing</i>. 2010;4(5):845-856. doi:<a href=\"https://doi.org/10.1109/JSTSP.2010.2050519\">10.1109/JSTSP.2010.2050519</a>"},"volume":4,"user_id":"460","_id":"11892","page":"845-856","status":"public","department":[{"_id":"54"}],"type":"journal_article","keyword":["audio streaming","audio visual data streaming","context information speech","face identification","face recognition","image segmentation","middleware","multimodal telecommunication","online diarization","service oriented middleware architecture","sessionless telecommunication","software architecture","speaker identification","speaker localization","speaker recognition","steerable camera","telecommunication computing","temporal segmentation","terminal-less telecommunication","video streaming"],"date_created":"2019-07-12T05:30:16Z","abstract":[{"text":"For an environment to be perceived as being smart, contextual information has to be gathered to adapt the system's behavior and its interface towards the user. Being a rich source of context information speech can be acquired unobtrusively by microphone arrays and then processed to extract information about the user and his environment. In this paper, a system for joint temporal segmentation, speaker localization, and identification is presented, which is supported by face identification from video data obtained from a steerable camera. Special attention is paid to latency aspects and online processing capabilities, as they are important for the application under investigation, namely ambient communication. It describes the vision of terminal-less, session-less and multi-modal telecommunication with remote partners, where the user can move freely within his home while the communication follows him. The speaker diarization serves as a context source, which has been integrated in a service-oriented middleware architecture and provided to the application to select the most appropriate I/O device and to steer the camera towards the speaker during ambient communication.","lang":"eng"}],"issue":"5","publication":"IEEE Journal of Selected Topics in Signal Processing","doi":"10.1109/JSTSP.2010.2050519","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/ScHa10.pdf","open_access":"1"}],"intvolume":"         4","date_updated":"2023-10-26T08:10:18Z","author":[{"first_name":"Joerg","last_name":"Schmalenstroeer","full_name":"Schmalenstroeer, Joerg","id":"460"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"year":"2010","title":"Online Diarization of Streaming Audio-Visual Data for Smart Environments"},{"type":"conference","keyword":["covariance matrices","expectation-maximisation algorithm","expectation-maximization algorithm","global positioning system","Global Positioning System","GPS","inertial measurement unit","interacting multiple model approach","Kalman filters","multilevel sensor fusion","narrow street canyons","narrow tunnels","online parameter estimation","parameter estimation","road vehicles","robust vehicle localization","sensor fusion","state noise covariances","time-variant multilevel Kalman filter","vehicle tracking algorithm"],"department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:27:01Z","abstract":[{"lang":"eng","text":"In this paper we present a novel vehicle tracking algorithm, which is based on multi-level sensor fusion of GPS (global positioning system) with Inertial Measurement Unit sensor data. It is shown that the robustness of the system to temporary dropouts of the GPS signal, which may occur due to limited visibility of satellites in narrow street canyons or tunnels, is greatly improved by sensor fusion. We further demonstrate how the observation and state noise covariances of the employed Kalman filters can be estimated alongside the filtering by an application of the Expectation-Maximization algorithm. The proposed time-variant multi-level Kalman filter is shown to outperform an Interacting Multiple Model approach while at the same time being computationally less demanding."}],"publication":"6th Workshop on Positioning Navigation and Communication (WPNC 2009)","citation":{"bibtex":"@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Robust vehicle localization based on multi-level sensor fusion and online parameter estimation}, DOI={<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>}, booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={235–242} }","ama":"Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In: <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>. ; 2009:235-242. doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>","mla":"Bevermeier, Maik, et al. “Robust Vehicle Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.” <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–42, doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>.","short":"M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 235–242.","chicago":"Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Robust Vehicle Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.” In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 235–42, 2009. <a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">https://doi.org/10.1109/WPNC.2009.4907833</a>.","ieee":"M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization based on multi-level sensor fusion and online parameter estimation,” in <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–242.","apa":"Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i> (pp. 235–242). <a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">https://doi.org/10.1109/WPNC.2009.4907833</a>"},"user_id":"44006","doi":"10.1109/WPNC.2009.4907833","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09.pdf"}],"page":"235-242","language":[{"iso":"eng"}],"_id":"11723","date_updated":"2022-01-06T06:51:07Z","year":"2009","title":"Robust vehicle localization based on multi-level sensor fusion and online parameter estimation","status":"public","author":[{"last_name":"Bevermeier","first_name":"Maik","full_name":"Bevermeier, Maik"},{"full_name":"Peschke, Sven","first_name":"Sven","last_name":"Peschke"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}]},{"language":[{"iso":"eng"}],"_id":"11724","page":"1-5","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf","open_access":"1"}],"user_id":"44006","doi":"10.1109/VETECS.2009.5073634","author":[{"full_name":"Bevermeier, Maik","first_name":"Maik","last_name":"Bevermeier"},{"first_name":"Sven","last_name":"Peschke","full_name":"Peschke, Sven"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"year":"2009","title":"Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning","status":"public","date_updated":"2022-01-06T06:51:07Z","date_created":"2019-07-12T05:27:02Z","department":[{"_id":"54"}],"oa":"1","type":"conference","keyword":["computational complexity","expectation-maximisation algorithm","Global Positioning System","inertial measurement unit","inertial navigation","interacting multiple model","iterative block expectation-maximization algorithm","Kalman filters","multi-stage Kalman filter","parameter estimation","road vehicles","vehicle positioning","vehicle tracking"],"citation":{"chicago":"Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.” In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 1–5, 2009. <a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">https://doi.org/10.1109/VETECS.2009.5073634</a>.","short":"M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.","apa":"Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i> (pp. 1–5). <a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">https://doi.org/10.1109/VETECS.2009.5073634</a>","ieee":"M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5.","ama":"Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In: <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>. ; 2009:1-5. doi:<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>","bibtex":"@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning}, DOI={<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>}, booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }","mla":"Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.” <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5, doi:<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>."},"publication":"IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)","abstract":[{"text":"In this paper we present a novel vehicle tracking method which is based on multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman filtering of GPS and IMU measurements the estimates of the orientation of the vehicle are combined in an optimal manner to improve the robustness towards drift errors. The tracking algorithm incorporates the estimation of time-variant covariance parameters by using an iterative block Expectation-Maximization algorithm to account for time-variant driving conditions and measurement quality. The proposed system is compared to an interacting multiple model approach (IMM) and achieves improved localization accuracy at lower computational complexity. Furthermore we show how the joint parameter estimation and localizaiton can be conducted with streaming input data to be able to track vehicles in a real driving environment.","lang":"eng"}]},{"date_created":"2019-07-12T05:27:03Z","type":"conference","oa":"1","department":[{"_id":"54"}],"publication":"DGON Navigationskonvent 2009","citation":{"mla":"Bevermeier, Maik, et al. “Eine Plattform Fuer Mehrwertdienste Im Bereich Logistik - Drahtlose Fahrzeug- Und Laderaumueberwachung Fuer LKW Mit Hilfe Einer Maut-On-Board Unit.” <i>DGON Navigationskonvent 2009</i>, 2009.","bibtex":"@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit}, booktitle={DGON Navigationskonvent 2009}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009} }","ama":"Bevermeier M, Peschke S, Haeb-Umbach R. Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit. In: <i>DGON Navigationskonvent 2009</i>. ; 2009.","ieee":"M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit,” in <i>DGON Navigationskonvent 2009</i>, 2009.","apa":"Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit. In <i>DGON Navigationskonvent 2009</i>.","short":"M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: DGON Navigationskonvent 2009, 2009.","chicago":"Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Eine Plattform Fuer Mehrwertdienste Im Bereich Logistik - Drahtlose Fahrzeug- Und Laderaumueberwachung Fuer LKW Mit Hilfe Einer Maut-On-Board Unit.” In <i>DGON Navigationskonvent 2009</i>, 2009."},"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-2.pdf"}],"_id":"11725","language":[{"iso":"eng"}],"user_id":"44006","status":"public","title":"Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit","year":"2009","author":[{"full_name":"Bevermeier, Maik","first_name":"Maik","last_name":"Bevermeier"},{"full_name":"Peschke, Sven","first_name":"Sven","last_name":"Peschke"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"date_updated":"2022-01-06T06:51:07Z"},{"abstract":[{"lang":"eng","text":"In this paper we present a new feature space dereverberation technique for automatic speech recognition. We derive an expression for the dependence of the reverberant speech features in the log-mel spectral domain on the non-reverberant speech features and the room impulse response. The obtained observation model is used for a model based speech enhancement based on Kalman filtering. The performance of the proposed enhancement technique is studied on the AURORA5 database. In our currently best configuration, which includes uncertainty decoding, the number of recognition errors is approximately halved compared to the recognition of unprocessed speech."}],"citation":{"ieee":"A. Krueger and R. Haeb-Umbach, “Model based feature enhancement for automatic speech recognition in reverberant environments,” in <i>Interspeech 2009</i>, 2009.","apa":"Krueger, A., &#38; Haeb-Umbach, R. (2009). Model based feature enhancement for automatic speech recognition in reverberant environments. In <i>Interspeech 2009</i>.","chicago":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model Based Feature Enhancement for Automatic Speech Recognition in Reverberant Environments.” In <i>Interspeech 2009</i>, 2009.","short":"A. Krueger, R. Haeb-Umbach, in: Interspeech 2009, 2009.","mla":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model Based Feature Enhancement for Automatic Speech Recognition in Reverberant Environments.” <i>Interspeech 2009</i>, 2009.","bibtex":"@inproceedings{Krueger_Haeb-Umbach_2009, title={Model based feature enhancement for automatic speech recognition in reverberant environments}, booktitle={Interspeech 2009}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2009} }","ama":"Krueger A, Haeb-Umbach R. Model based feature enhancement for automatic speech recognition in reverberant environments. In: <i>Interspeech 2009</i>. ; 2009."},"publication":"Interspeech 2009","department":[{"_id":"54"}],"oa":"1","type":"conference","date_created":"2019-07-12T05:29:24Z","date_updated":"2022-01-06T06:51:11Z","author":[{"full_name":"Krueger, Alexander","first_name":"Alexander","last_name":"Krueger"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"year":"2009","title":"Model based feature enhancement for automatic speech recognition in reverberant environments","status":"public","user_id":"44006","language":[{"iso":"eng"}],"_id":"11847","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2009/KrHa09.pdf","open_access":"1"}]},{"date_updated":"2022-01-06T06:51:11Z","title":"On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition","year":"2009","status":"public","author":[{"last_name":"Leutnant","first_name":"Volker","full_name":"Leutnant, Volker"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/LeHa09-1.pdf"}],"language":[{"iso":"eng"}],"_id":"11859","abstract":[{"text":"In this paper we present an Uncertainty Decoding rule which exploits feature reliability information and interframe correlation for noise robust speech recognition. The reliability information can be obtained either from conditional Bayesian estimation, where speech and noise feature vectors are tracked jointly, or by augmenting conventional point estimation methods with heuristics about the estimator's reliability. Experimental results on the AURORA2 database demonstrate on the one hand that Uncertainty Decoding improves recognition performance, while on the other hand it is seen that the severe approximations needed to arrive at computationally tractable solutions have their noticable impact on recognition performance.","lang":"eng"}],"publication":"International Conference on Acoustics (NAG/DAGA 2009)","citation":{"ama":"Leutnant V, Haeb-Umbach R. On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition. In: <i>International Conference on Acoustics (NAG/DAGA 2009)</i>. ; 2009.","bibtex":"@inproceedings{Leutnant_Haeb-Umbach_2009, title={On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition}, booktitle={International Conference on Acoustics (NAG/DAGA 2009)}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }","mla":"Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition.” <i>International Conference on Acoustics (NAG/DAGA 2009)</i>, 2009.","short":"V. Leutnant, R. Haeb-Umbach, in: International Conference on Acoustics (NAG/DAGA 2009), 2009.","chicago":"Leutnant, Volker, and Reinhold Haeb-Umbach. “On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition.” In <i>International Conference on Acoustics (NAG/DAGA 2009)</i>, 2009.","apa":"Leutnant, V., &#38; Haeb-Umbach, R. (2009). On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition. In <i>International Conference on Acoustics (NAG/DAGA 2009)</i>.","ieee":"V. Leutnant and R. Haeb-Umbach, “On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition,” in <i>International Conference on Acoustics (NAG/DAGA 2009)</i>, 2009."},"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:29:38Z"},{"date_updated":"2022-01-06T06:51:11Z","author":[{"last_name":"Leutnant","first_name":"Volker","full_name":"Leutnant, Volker"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"year":"2009","title":"An analytic derivation of a phase-sensitive observation model for noise robust speech recognition","status":"public","user_id":"44006","_id":"11860","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/LeHa09-2.pdf"}],"abstract":[{"lang":"eng","text":"In this paper we present an analytic derivation of the moments of the phase factor between clean speech and noise cepstral or log-mel-spectral feature vectors. The development shows, among others, that the probability density of the phase factor is of sub-Gaussian nature and that it is independent of the noise type and the signal-to-noise ratio, however dependent on the mel filter bank index. Further we show how to compute the contribution of the phase factor to both the mean and the vari- ance of the noisy speech observation likelihood, which relates the speech and noise feature vectors to those of noisy speech. The resulting phase-sensitive observation model is then used in model-based speech feature enhancement, leading to significant improvements in word accuracy on the AURORA2 database."}],"citation":{"ama":"Leutnant V, Haeb-Umbach R. An analytic derivation of a phase-sensitive observation model for noise robust speech recognition. In: <i>Interspeech 2009</i>. ; 2009.","bibtex":"@inproceedings{Leutnant_Haeb-Umbach_2009, title={An analytic derivation of a phase-sensitive observation model for noise robust speech recognition}, booktitle={Interspeech 2009}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }","mla":"Leutnant, Volker, and Reinhold Haeb-Umbach. “An Analytic Derivation of a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.” <i>Interspeech 2009</i>, 2009.","chicago":"Leutnant, Volker, and Reinhold Haeb-Umbach. “An Analytic Derivation of a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.” In <i>Interspeech 2009</i>, 2009.","short":"V. Leutnant, R. Haeb-Umbach, in: Interspeech 2009, 2009.","apa":"Leutnant, V., &#38; Haeb-Umbach, R. (2009). An analytic derivation of a phase-sensitive observation model for noise robust speech recognition. In <i>Interspeech 2009</i>.","ieee":"V. Leutnant and R. Haeb-Umbach, “An analytic derivation of a phase-sensitive observation model for noise robust speech recognition,” in <i>Interspeech 2009</i>, 2009."},"publication":"Interspeech 2009","oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:29:39Z"},{"doi":"10.1109/WPNC.2009.4907827","user_id":"44006","page":"195-202","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-1.pdf"}],"_id":"11881","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:11Z","year":"2009","title":"A GPS positioning approach exploiting GSM velocity estimates","status":"public","author":[{"full_name":"Peschke, Sven","last_name":"Peschke","first_name":"Sven"},{"full_name":"Bevermeier, Maik","last_name":"Bevermeier","first_name":"Maik"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"type":"conference","keyword":["cellular radio","distance measurement","global positioning system","Global Positioning System","global system for mobile communications","GPS positioning approach","GSM velocity","gyroscopes","gyroscope sensor","inertial navigation","inertial navigation system","odometer","sensor fusion system architecture","sensors"],"oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:30:04Z","abstract":[{"text":"A combination of GPS (global positioning system) and INS (inertial navigation system) is known to provide high precision and highly robust vehicle localization. Notably during times when the GPS signal has a poor quality, e.g. due to the lack of a sufficiently large number of visible satellites, the INS, which may consist of a gyroscope and an odometer, will lead to improved positioning accuracy. In this paper we show how velocity information obtained from GSM (global system for mobile communications) signalling, rather than from a tachometer, can be used together with a gyroscope sensor to support localization in the presence of temporarily unavailable GPS data. We propose a sensor fusion system architecture and present simulation results that show the effectiveness of this approach.","lang":"eng"}],"publication":"6th Workshop on Positioning Navigation and Communication (WPNC 2009)","citation":{"apa":"Peschke, S., Bevermeier, M., &#38; Haeb-Umbach, R. (2009). A GPS positioning approach exploiting GSM velocity estimates. In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i> (pp. 195–202). <a href=\"https://doi.org/10.1109/WPNC.2009.4907827\">https://doi.org/10.1109/WPNC.2009.4907827</a>","mla":"Peschke, Sven, et al. “A GPS Positioning Approach Exploiting GSM Velocity Estimates.” <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 195–202, doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907827\">10.1109/WPNC.2009.4907827</a>.","ieee":"S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “A GPS positioning approach exploiting GSM velocity estimates,” in <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 195–202.","ama":"Peschke S, Bevermeier M, Haeb-Umbach R. A GPS positioning approach exploiting GSM velocity estimates. In: <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>. ; 2009:195-202. doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907827\">10.1109/WPNC.2009.4907827</a>","short":"S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 195–202.","chicago":"Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “A GPS Positioning Approach Exploiting GSM Velocity Estimates.” In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 195–202, 2009. <a href=\"https://doi.org/10.1109/WPNC.2009.4907827\">https://doi.org/10.1109/WPNC.2009.4907827</a>.","bibtex":"@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={A GPS positioning approach exploiting GSM velocity estimates}, DOI={<a href=\"https://doi.org/10.1109/WPNC.2009.4907827\">10.1109/WPNC.2009.4907827</a>}, booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)}, author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}, year={2009}, pages={195–202} }"}},{"publication":"DGON Navigationskonvent 2009","citation":{"bibtex":"@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen}, booktitle={DGON Navigationskonvent 2009}, author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}, year={2009} }","ama":"Peschke S, Bevermeier M, Haeb-Umbach R. Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen. In: <i>DGON Navigationskonvent 2009</i>. ; 2009.","mla":"Peschke, Sven, et al. “Verbesserung von GPS-Basierter Ortung Durch GSM-Geschwindigkeitsschaetzungen.” <i>DGON Navigationskonvent 2009</i>, 2009.","chicago":"Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “Verbesserung von GPS-Basierter Ortung Durch GSM-Geschwindigkeitsschaetzungen.” In <i>DGON Navigationskonvent 2009</i>, 2009.","short":"S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: DGON Navigationskonvent 2009, 2009.","ieee":"S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen,” in <i>DGON Navigationskonvent 2009</i>, 2009.","apa":"Peschke, S., Bevermeier, M., &#38; Haeb-Umbach, R. (2009). Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen. In <i>DGON Navigationskonvent 2009</i>."},"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:30:05Z","date_updated":"2022-01-06T06:51:11Z","title":"Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen","year":"2009","status":"public","author":[{"full_name":"Peschke, Sven","last_name":"Peschke","first_name":"Sven"},{"full_name":"Bevermeier, Maik","first_name":"Maik","last_name":"Bevermeier"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"user_id":"44006","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-2.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"11882"},{"status":"public","user_id":"44006","volume":17,"page":"974-984","_id":"11937","citation":{"apa":"Windmann, S., &#38; Haeb-Umbach, R. (2009). Approaches to Iterative Speech Feature Enhancement and Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>17</i>(5), 974–984. <a href=\"https://doi.org/10.1109/TASL.2009.2014894\">https://doi.org/10.1109/TASL.2009.2014894</a>","ieee":"S. Windmann and R. Haeb-Umbach, “Approaches to Iterative Speech Feature Enhancement and Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 5, pp. 974–984, 2009.","chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech Feature Enhancement and Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 17, no. 5 (2009): 974–84. <a href=\"https://doi.org/10.1109/TASL.2009.2014894\">https://doi.org/10.1109/TASL.2009.2014894</a>.","short":"S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 974–984.","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech Feature Enhancement and Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 5, 2009, pp. 974–84, doi:<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>.","ama":"Windmann S, Haeb-Umbach R. Approaches to Iterative Speech Feature Enhancement and Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2009;17(5):974-984. doi:<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>","bibtex":"@article{Windmann_Haeb-Umbach_2009, title={Approaches to Iterative Speech Feature Enhancement and Recognition}, volume={17}, DOI={<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={974–984} }"},"oa":"1","date_updated":"2022-01-06T06:51:12Z","intvolume":"        17","title":"Approaches to Iterative Speech Feature Enhancement and Recognition","year":"2009","author":[{"full_name":"Windmann, Stefan","first_name":"Stefan","last_name":"Windmann"},{"full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242"}],"doi":"10.1109/TASL.2009.2014894","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-1.pdf"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In automatic speech recognition, hidden Markov models (HMMs) are commonly used for speech decoding, while switching linear dynamic models (SLDMs) can be employed for a preceding model-based speech feature enhancement. In this paper, these model types are combined in order to obtain a novel iterative speech feature enhancement and recognition architecture. It is shown that speech feature enhancement with SLDMs can be improved by feeding back information from the HMM to the enhancement stage. Two different feedback structures are derived. In the first, the posteriors of the HMM states are used to control the model probabilities of the SLDMs, while in the second they are employed to directly influence the estimate of the speech feature distribution. Both approaches lead to improvements in recognition accuracy both on the AURORA2 and AURORA4 databases compared to non-iterative speech feature enhancement with SLDMs. It is also shown that a combination with uncertainty decoding further enhances performance."}],"publication":"IEEE Transactions on Audio, Speech, and Language Processing","issue":"5","keyword":["AURORA2 databases","AURORA4 databases","automatic speech recognition","feedback structures","hidden Markov models","HMM","iterative methods","iterative speech feature enhancement","model probabilities","speech decoding","speech enhancement","speech feature distribution","speech recognition","switching linear dynamic models"],"type":"journal_article","department":[{"_id":"54"}],"date_created":"2019-07-12T05:31:08Z"},{"intvolume":"        17","date_updated":"2022-01-06T06:51:12Z","author":[{"full_name":"Windmann, Stefan","last_name":"Windmann","first_name":"Stefan"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"year":"2009","title":"Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition","doi":"10.1109/TASL.2009.2023172","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-2.pdf","open_access":"1"}],"abstract":[{"lang":"eng","text":"In this paper, parameter estimation of a state-space model of noise or noisy speech cepstra is investigated. A blockwise EM algorithm is derived for the estimation of the state and observation noise covariance from noise-only input data. It is supposed to be used during the offline training mode of a speech recognizer. Further a sequential online EM algorithm is developed to adapt the observation noise covariance on noisy speech cepstra at its input. The estimated parameters are then used in model-based speech feature enhancement for noise-robust automatic speech recognition. Experiments on the AURORA4 database lead to improved recognition results with a linear state model compared to the assumption of stationary noise."}],"publication":"IEEE Transactions on Audio, Speech, and Language Processing","issue":"8","department":[{"_id":"54"}],"keyword":["AURORA4 database","blockwise EM algorithm","covariance analysis","linear state model","noise covariance","noise-robust automatic speech recognition","noisy speech cepstra","offline training mode","parameter estimation","speech recognition","speech recognition equipment","speech recognizer","state-space methods","state-space model"],"type":"journal_article","date_created":"2019-07-12T05:31:09Z","status":"public","volume":17,"user_id":"44006","_id":"11938","page":"1577-1590","citation":{"chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 17, no. 8 (2009): 1577–90. <a href=\"https://doi.org/10.1109/TASL.2009.2023172\">https://doi.org/10.1109/TASL.2009.2023172</a>.","short":"S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 1577–1590.","apa":"Windmann, S., &#38; Haeb-Umbach, R. (2009). Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>17</i>(8), 1577–1590. <a href=\"https://doi.org/10.1109/TASL.2009.2023172\">https://doi.org/10.1109/TASL.2009.2023172</a>","ieee":"S. Windmann and R. Haeb-Umbach, “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 8, pp. 1577–1590, 2009.","ama":"Windmann S, Haeb-Umbach R. Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2009;17(8):1577-1590. doi:<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>","bibtex":"@article{Windmann_Haeb-Umbach_2009, title={Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition}, volume={17}, DOI={<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>}, number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={1577–1590} }","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 8, 2009, pp. 1577–90, doi:<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>."},"oa":"1"},{"quality_controlled":"1","citation":{"chicago":"Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Audio-Visual Data Processing for Ambient Communication.” In <i>1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence</i>, 2009.","short":"J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence, 2009.","ieee":"J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Audio-Visual Data Processing for Ambient Communication,” 2009.","apa":"Schmalenstroeer, J., Leutnant, V., &#38; Haeb-Umbach, R. (2009). Audio-Visual Data Processing for Ambient Communication. <i>1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence</i>.","bibtex":"@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2009, title={Audio-Visual Data Processing for Ambient Communication}, booktitle={1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence}, author={Schmalenstroeer, Joerg and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }","ama":"Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing for Ambient Communication. In: <i>1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence</i>. ; 2009.","mla":"Schmalenstroeer, Joerg, et al. “Audio-Visual Data Processing for Ambient Communication.” <i>1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence</i>, 2009."},"file_date_updated":"2023-11-15T15:02:34Z","publication":"1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence","department":[{"_id":"54"}],"oa":"1","type":"conference","date_created":"2019-07-12T05:30:25Z","file":[{"file_size":98062,"access_level":"open_access","file_name":"SchLeuHae09.pdf","date_updated":"2023-11-15T15:02:34Z","relation":"main_file","content_type":"application/pdf","file_id":"48934","creator":"schmalen","date_created":"2023-11-15T15:02:34Z"}],"has_accepted_license":"1","date_updated":"2023-11-15T15:03:08Z","author":[{"full_name":"Schmalenstroeer, Joerg","first_name":"Joerg","last_name":"Schmalenstroeer","id":"460"},{"first_name":"Volker","last_name":"Leutnant","full_name":"Leutnant, Volker"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"status":"public","title":"Audio-Visual Data Processing for Ambient Communication","year":"2009","user_id":"460","ddc":["004"],"language":[{"iso":"eng"}],"_id":"11900"}]