von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023;31:576-589. doi:10.1109/taslp.2022.3228629
LibreCat: /record/35602
DOI: 10.1109/taslp.2022.3228629

von Neumann T, Boeddeker C, Delcroix M, Haeb-Umbach R. MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems. In: Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments. ; 2023.
LibreCat: /record/48275

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
LibreCat: /record/26770
DOI: 10.21437/interspeech.2021-1177

Heitkaemper J, Jakobeit D, Boeddeker C, Drude L, Haeb-Umbach R. Demystifying TasNet: A Dissecting Approach. In: ICASSP 2020 Virtual Barcelona Spain. ; 2020.
LibreCat: /record/20504

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.
LibreCat: /record/20505

Abramov O, Kopp S, Nemeth A, Kern F, Mertens U, Rohlfing K. Towards a Computational Model of Child Gesture-Speech Production. In: KOGW: Computational Approaches to Cognitive Science. ; 2018.
LibreCat: /record/17557

Abramov O, Kopp S, Nemeth A, Kern F, Mertens U, Rohlfing K. Towards a Computational Model of Child Gesture-Speech Production. In: KOGW: Computational Approaches to Cognitive Science. ; 2018.
LibreCat: /record/17179

Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: Interspeech 2015. ; 2015:1785-1789.
LibreCat: /record/11739

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
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. 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). ; 2014:213-217.
LibreCat: /record/11753

Leutnant V, Krueger A, Haeb-Umbach R. 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. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480
LibreCat: /record/11861
DOI: 10.1109/TASLP.2013.2285480

Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637

Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance decoding. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. ; 2013:6827-6831. doi:10.1109/ICASSP.2013.6638984
LibreCat: /record/11716
DOI: 10.1109/ICASSP.2013.6638984

Kinoshita K, Delcroix M, Yoshioka T, 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 . ; 2013:22-23.
LibreCat: /record/11841

Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013
LibreCat: /record/11862
DOI: 10.1109/TASL.2013.2258013

Vu DHT, Haeb-Umbach R. 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). ; 2013:863-867. doi:10.1109/ICASSP.2013.6637771
LibreCat: /record/11917
DOI: 10.1109/ICASSP.2013.6637771

Chinaev A, Krueger A, Tran Vu DH, Haeb-Umbach R. Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012). ; 2012.
LibreCat: /record/11745

Leutnant V, Krueger A, Haeb-Umbach R. 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.
LibreCat: /record/11864

Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing. 2011;19(1):206-219. doi:10.1109/TASL.2010.2047324
LibreCat: /record/11850
DOI: 10.1109/TASL.2010.2047324

Fischer K, Foth K, Rohlfing K, Wrede B. Mindful tutors: Linguistic choice and action demonstration in speech to infants and a simulated robot. Interaction Studies. 2011;12(1):134-161. doi:10.1075/is.12.1.06fis
LibreCat: /record/17233
DOI: 10.1075/is.12.1.06fis