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318 Publications
2021 | Conference Paper | LibreCat-ID: 23998 | 
Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.
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2021 | Journal Article | LibreCat-ID: 22528 |
Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x
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2021 | Conference Paper | LibreCat-ID: 23994 |
Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9413831
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2021 | Conference Paper | LibreCat-ID: 23999 |
Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.
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2021 | Conference Paper | LibreCat-ID: 23997 |
Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.
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2021 | Conference Paper | LibreCat-ID: 29304 |
Ebbers J, Kuhlmann M, Cord-Landwehr T, Haeb-Umbach R. Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021:3860–3864.
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2021 | Conference Paper | LibreCat-ID: 26770 |
von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. In: Interspeech 2021. ; 2021. doi:10.21437/interspeech.2021-1177
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2021 | Conference Paper | LibreCat-ID: 29173 |
von Neumann T, Boeddeker C, Kinoshita K, Delcroix M, Haeb-Umbach R. Speeding Up Permutation Invariant Training for Source Separation. In: Speech Communication; 14th ITG Conference. ; 2021.
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2021 | Conference Paper | LibreCat-ID: 29308 |
Ebbers J, Haeb-Umbach R. Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. In: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021). ; 2021:226–230.
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2021 | Conference Paper | LibreCat-ID: 29306 |
Ebbers J, Keyser MC, Haeb-Umbach R. Adapting Sound Recognition to A New Environment Via Self-Training. In: Proceedings of the 29th European Signal Processing Conference (EUSIPCO). ; 2021:1135–1139.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366
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2020 | Conference Paper | LibreCat-ID: 17763 |
Haeb-Umbach R. Sprachtechnologien für Digitale Assistenten. In: Böck R, Siegert I, Wendemuth A, eds. Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020. TUDpress, Dresden; 2020:227-234.
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2020 | Conference Paper | LibreCat-ID: 20695 |
Boeddeker C, Nakatani T, Kinoshita K, Haeb-Umbach R. Jointly Optimal Dereverberation and Beamforming. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2020. doi:10.1109/icassp40776.2020.9054393
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2020 | Conference Paper | LibreCat-ID: 20700 |
Boeddeker C, Cord-Landwehr T, Heitkaemper J, et al. Towards a speaker diarization system for the CHiME 2020 dinner party transcription. In: Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments. ; 2020.
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2020 | Journal Article | LibreCat-ID: 17598 |
Nakatani T, Boeddeker C, Kinoshita K, Ikeshita R, Delcroix M, Haeb-Umbach R. Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing. Published online 2020:1-1. doi:10.1109/TASLP.2020.3013118
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2020 | Conference Paper | LibreCat-ID: 20504
Heitkaemper J, Jakobeit D, Boeddeker C, Drude L, Haeb-Umbach R. Demystifying TasNet: A Dissecting Approach. In: ICASSP 2020 Virtual Barcelona Spain. ; 2020.
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2020 | Preprint | LibreCat-ID: 28263
Watanabe S, Mandel M, Barker J, et al. CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings. arXiv:200409249. Published online 2020.
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2020 | Conference Paper | LibreCat-ID: 20505
Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH 2020 Virtual Shanghai China. ; 2020.
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2020 | Conference Paper | LibreCat-ID: 20762 |
von Neumann T, Kinoshita K, Drude L, et al. End-to-End Training of Time Domain Audio Separation and Recognition. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2020:7004-7008. doi:10.1109/ICASSP40776.2020.9053461
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2020 | Conference Paper | LibreCat-ID: 20764 |
von Neumann T, Boeddeker C, Drude L, et al. Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. In: Proc. Interspeech 2020. ; 2020:3097-3101. doi:10.21437/Interspeech.2020-2519
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2020 | Conference Paper | LibreCat-ID: 18651 |
Gburrek T, Schmalenstroeer J, Brendel A, Kellermann W, Haeb-Umbach R. Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. In: European Signal Processing Conference (EUSIPCO). ; 2020.
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2020 | Conference Paper | LibreCat-ID: 20766 |
Kinoshita K, von Neumann T, Delcroix M, Nakatani T, Haeb-Umbach R. Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. In: Proc. Interspeech 2020. ; 2020:2652-2656. doi:10.21437/Interspeech.2020-2388
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2020 | Conference Paper | LibreCat-ID: 20753 |
Ebbers J, Haeb-Umbach R. Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection. In: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020). ; 2020.
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2019 | Journal Article | LibreCat-ID: 17762
Haeb-Umbach R. Lektionen für Alexa \& Co?! forschung. 2019;44(1):12-15. doi:10.1002/fors.201970104
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2019 | Journal Article | LibreCat-ID: 19446 |
Drude L, Heitkaemper J, Boeddeker C, Haeb-Umbach R. SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. ArXiv e-prints. 2019.
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2019 | Conference Paper | LibreCat-ID: 11965 |
Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based beamforming. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 12874 |
Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In: ICASSP 2019, Brighton, UK. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 12875 |
Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In: ICASSP 2019, Brighton, UK. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 12876 |
Kurz G, Gilitschenski I, Pfaff F, et al. Directional Statistics and Filtering Using libDirectional. In: Journal of Statistical Software 89(4). ; 2019.
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2019 | Journal Article | LibreCat-ID: 12890 |
Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. 2019. doi:10.1109/JSTSP.2019.2912565
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2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence Modeling. In: ICASSP 2019, Brighton, UK. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 15816 |
Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In: ASRU 2019, Sentosa, Singapore. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 14822 |
Heitkaemper J, Feher T, Freitag M, Haeb-Umbach R. A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 14824 |
Martin-Donas JM, Heitkaemper J, Haeb-Umbach R, Gomez AM, Peinado AM. Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 14826 |
Kanda N, Boeddeker C, Heitkaemper J, Fujita Y, Horiguchi S, Haeb-Umbach R. Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 13271 |
von Neumann T, Kinoshita K, Delcroix M, Araki S, Nakatani T, Haeb-Umbach R. All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In: ICASSP 2019, Brighton, UK. ; 2019.
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2019 | Journal Article | LibreCat-ID: 15814 |
Haeb-Umbach R, Watanabe S, Nakatani T, et al. Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE Signal Processing Magazine. 2019;36(6):111-124. doi:10.1109/MSP.2019.2918706
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2019 | Journal Article | LibreCat-ID: 19450 |
Haeb-Umbach R. Lektionen für Alexa & Co?! DFG forschung 1/2019. Published online 2019:12-15. doi:10.1002/fors.201970104
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2019 | Conference Paper | LibreCat-ID: 15237 |
Gburrek T, Glarner T, Ebbers J, Haeb-Umbach R, Wagner P. Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. In: Proc. 10th ISCA Speech Synthesis Workshop. ; 2019:81-86. doi:10.21437/SSW.2019-15
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2019 | Conference Paper | LibreCat-ID: 15794 |
Ebbers J, Haeb-Umbach R. Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. In: DCASE2019 Workshop, New York, USA. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 |
Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. In: CAMSAP 2019, Guadeloupe, West Indies. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 15792 |
Nelus A, Ebbers J, Haeb-Umbach R, Martin R. Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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2018 | Conference Paper | LibreCat-ID: 18107
Heymann J, Bacchiani M, Sainath TN. Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2018:6722-6726. doi:10.1109/ICASSP.2018.8462372
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2018 | Conference Paper | LibreCat-ID: 11760 |
Ebbers J, Nelus A, Martin R, Haeb-Umbach R. Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection. In: DAGA 2018, München. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11835 |
Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Frame-Online DNN-WPE Dereverberation. In: IWAENC 2018, Tokio, Japan. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11837 |
Heitkaemper J, Heymann J, Haeb-Umbach R. Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In: ITG 2018, Oldenburg, Germany. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11872 |
Drude L, Boeddeker C, Heymann J, et al. Integration neural network based beamforming and weighted prediction error dereverberation. In: INTERSPEECH 2018, Hyderabad, India. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11873 |
Drude L, Heymann J, Boeddeker C, Haeb-Umbach R. NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In: ITG 2018, Oldenburg, Germany. ; 2018.
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2018 | Journal Article | LibreCat-ID: 11916 |
Despotovic V, Walter O, Haeb-Umbach R. Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication 99 (2018) 242-251 (Elsevier BV). 2018.
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2018 | Conference Paper | LibreCat-ID: 12898 |
Drude L, von Neumann T, Haeb-Umbach R. Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation. In: ICASSP 2018, Calgary, Canada. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 12900 |
Drude L, Higuchi, Takuya , Kinoshita K, Nakatani T, Haeb-Umbach R. Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. In: ICASSP 2018, Calgary, Canada. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 12901 |
Boeddeker C, Erdogan H, Yoshioka T, Haeb-Umbach R. Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. In: ICASSP 2018, Calgary, Canada. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 29923 |
Watanabe S, Hori T, Karita S, et al. ESPnet: End-to-End Speech Processing Toolkit. In: INTERSPEECH 2018, Hyderabad, India. ; 2018:2207–2211. doi:10.21437/Interspeech.2018-1456
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2018 | Conference Paper | LibreCat-ID: 12899 |
Boeddeker C, Heitkaemper J, Schmalenstroeer J, Drude L, Heymann J, Haeb-Umbach R. Front-End Processing for the CHiME-5 Dinner Party Scenario. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 6859
Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: Speech Communication; 13th ITG-Symposium. ; 2018:1-5.
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2018 | Conference Paper | LibreCat-ID: 11747 |
Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar. In: International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 |
Glarner T, Hanebrink P, Ebbers J, Haeb-Umbach R. Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. In: INTERSPEECH 2018, Hyderabad, India. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11838 |
Schmalenstroeer J, Haeb-Umbach R. Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. In: 26th European Signal Processing Conference (EUSIPCO 2018). ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11876 |
Kitza M, Michel W, Boeddeker C, et al. The RWTH/UPB System Combination for the CHiME 2018 Workshop. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11836 |
Ebbers J, Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Benchmarking Neural Network Architectures for Acoustic Sensor Networks. In: ITG 2018, Oldenburg, Germany. ; 2018.
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2018 | Conference Paper | LibreCat-ID: 11839 |
Schmalenstroeer J, Haeb-Umbach R. Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. In: ITG 2018, Oldenburg, Germany. ; 2018.
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2017 | Conference Paper | LibreCat-ID: 11717 |
Arora P, Haeb-Umbach R. A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario. In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). ; 2017.
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2017 | Report | LibreCat-ID: 11735 |
Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. On the Computation of Complex-Valued Gradients with Application to Statistically Optimum Beamforming.; 2017.
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2017 | Conference Paper | LibreCat-ID: 11736 |
Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11737 |
Chinaev A, Haeb-Umbach R. A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11754 |
Drude L, Haeb-Umbach R. Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11770 |
Glarner T, Boenninghoff B, Walter O, Haeb-Umbach R. Leveraging Text Data for Word Segmentation for Underresourced Languages. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11809 |
Heymann J, Drude L, Boeddeker C, Hanebrink P, Haeb-Umbach R. BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
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2017 | Journal Article | LibreCat-ID: 11811 |
Heymann J, Drude L, Haeb-Umbach R. A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language. 2017.
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2017 | Patent | LibreCat-ID: 12081
Jacob F, Schmalenstroeer J. Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination. 2017.
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2017 | Conference Paper | LibreCat-ID: 11763 |
Fei T, Grimm C, Farhoud R, Breddermann T, Warsitz E, Haeb-Umbach R. A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems. In: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems. ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11772 |
Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Hypothesis Test for the Detection of Moving Targets in Automotive Radar. In: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS). ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11759 |
Ebbers J, Heymann J, Drude L, Glarner T, Haeb-Umbach R, Raj B. Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11895 |
Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). ; 2017.
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2017 | Conference Paper | LibreCat-ID: 11773 |
Grimm C, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. In: IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS). ; 2017.
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2016 | Conference Paper | LibreCat-ID: 11738 |
Chinaev A, Haeb-Umbach R. A Priori SNR Estimation Using a Generalized Decision Directed Approach. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11743 |
Chinaev A, Heitkaemper J, Haeb-Umbach R. A Priori SNR Estimation Using Weibull Mixture Model. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11744 |
Chinaev A, Heymann J, Drude L, Haeb-Umbach R. Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11751 |
Drude L, Boeddeker C, Haeb-Umbach R. Blind Speech Separation based on Complex Spherical k-Mode Clustering. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11756 |
Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural networks for speech enhancement. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11771 |
Glarner T, Mahdi Momenzadeh M, Drude L, Haeb-Umbach R. Factor Graph Decoding for Speech Presence Probability Estimation. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11812 |
Heymann J, Drude L, Haeb-Umbach R. Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11829 |
Jacob F, Haeb-Umbach R. On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11834 |
Heymann J, Drude L, Haeb-Umbach R. Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In: Computer Speech and Language. ; 2016.
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2016 | Journal Article | LibreCat-ID: 11840 |
Kinoshita K, Delcroix M, Gannot S, et al. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing. 2016.
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2016 | Journal Article | LibreCat-ID: 11886
Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine. 2016;33(4):14-29. doi:10.1109/MSP.2016.2555198
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2016 | Conference Paper | LibreCat-ID: 11908 |
Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 |
Walter O, Haeb-Umbach R. Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In: 38th German Conference on Pattern Recognition (GCPR 2016). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 11890 |
Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy Localization Precision Limits. In: 24th European Signal Processing Conference (EUSIPCO 2016). ; 2016.
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2015 | Conference Paper | LibreCat-ID: 11739 |
Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: Interspeech 2015. ; 2015:1785-1789.
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2015 | Conference Paper | LibreCat-ID: 11748 |
Despotovic V, Walter O, Haeb-Umbach R. Semantic Analysis of Spoken Input using Markov Logic Networks. In: INTERSPEECH 2015. ; 2015.
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2015 | Conference Paper | LibreCat-ID: 11755 |
Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: 23th European Signal Processing Conference (EUSIPCO 2015). ; 2015.
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2015 | Conference Paper | LibreCat-ID: 11810
Heymann J, Drude L, Chinaev A, Haeb-Umbach R. BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2015). ; 2015.
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2015 | Conference Paper | LibreCat-ID: 11813 |
Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On. ; 2015:5053-5057. doi:10.1109/ICASSP.2015.7178933
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2015 | Journal Article | LibreCat-ID: 11830 |
Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv e-prints. 2015.
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2015 | Book | LibreCat-ID: 11868 |
Li J, Deng L, Haeb-Umbach R, Gong Y. Robust Automatic Speech Recognition. Elsevier; 2015.
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2015 | Conference Paper | LibreCat-ID: 11875 |
Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: INTERSPEECH 2015. ; 2015.
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2015 | Conference Paper | LibreCat-ID: 11919 |
Walter O, Drude L, Haeb-Umbach R. Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). ; 2015.
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2015 | Journal Article | LibreCat-ID: 11922 |
Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. KI - Kuenstliche Intelligenz. 2015:1-13. doi:http://dx.doi.org/10.1007/s13218-015-0372-1
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2015 | Report | LibreCat-ID: 11923 |
Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).; 2015.
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