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39 Publications


2023 | Journal Article | LibreCat-ID: 35602 | OA
T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach, “Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 576–589, 2023, doi: 10.1109/taslp.2022.3228629.
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2023 | Conference Paper | LibreCat-ID: 48275 | OA
T. von Neumann, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach, “MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems,” presented at the CHiME 2023 Workshop on Speech Processing in Everyday Environments, Dublin, 2023.
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2021 | Conference Paper | LibreCat-ID: 26770 | OA
T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach, “Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers,” presented at the Interspeech, 2021, doi: 10.21437/interspeech.2021-1177.
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2020 | Conference Paper | LibreCat-ID: 20504
J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, and R. Haeb-Umbach, “Demystifying TasNet: A Dissecting Approach,” 2020.
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2020 | Conference Paper | LibreCat-ID: 20505
J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments,” 2020.
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2018 | Conference Paper | LibreCat-ID: 17557
O. Abramov, S. Kopp, A. Nemeth, F. Kern, U. Mertens, and K. Rohlfing, “Towards a Computational Model of Child Gesture-Speech Production,” 2018.
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2018 | Conference Paper | LibreCat-ID: 17179
O. Abramov, S. Kopp, A. Nemeth, F. Kern, U. Mertens, and K. Rohlfing, “Towards a Computational Model of Child Gesture-Speech Production,” 2018.
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2015 | Conference Paper | LibreCat-ID: 11739 | OA
A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics Based Noise Tracking,” in Interspeech 2015, 2015, pp. 1785–1789.
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2015 | Conference Paper | LibreCat-ID: 11813 | OA
J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “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, pp. 5053–5057.
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2014 | Conference Paper | LibreCat-ID: 11753 | OA
L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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2014 | Journal Article | LibreCat-ID: 11861
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, pp. 95–109, 2014.
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2014 | Journal Article | LibreCat-ID: 11867 | OA
J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014.
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2013 | Conference Paper | LibreCat-ID: 11716
A. H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, and R. Haeb-Umbach, “GMM-based significance decoding,” in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, 2013, pp. 6827–6831.
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2013 | Conference Paper | LibreCat-ID: 11841 | OA
K. Kinoshita et al., “The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.
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2013 | Journal Article | LibreCat-ID: 11862
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 8, pp. 1640–1652, 2013.
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2013 | Conference Paper | LibreCat-ID: 11917
D. H. T. Vu and R. Haeb-Umbach, “Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation,” in 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.
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2012 | Conference Paper | LibreCat-ID: 11745 | OA
A. Chinaev, A. Krueger, D. H. Tran Vu, and R. Haeb-Umbach, “Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor,” in 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), 2012.
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2012 | Conference Paper | LibreCat-ID: 11864 | OA
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR,” in Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on, 2012.
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2011 | Journal Article | LibreCat-ID: 11850 | OA
A. Krueger, E. Warsitz, and R. Haeb-Umbach, “Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 1, pp. 206–219, 2011.
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2011 | Journal Article | LibreCat-ID: 17233
K. Fischer, K. Foth, K. Rohlfing, and B. Wrede, “Mindful tutors: Linguistic choice and action demonstration in speech to infants and a simulated robot,” Interaction Studies, vol. 12, no. 1, pp. 134–161, 2011, doi: 10.1075/is.12.1.06fis.
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