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

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

von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., &; Haeb-Umbach, R. (2021). Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. Interspeech 2021. Interspeech.https://doi.org/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. (2020). Demystifying TasNet: A Dissecting Approach. ICASSP 2020 Virtual Barcelona Spain.
LibreCat: /record/20504

Heitkaemper, J., Schmalenstroeer, J., &; Haeb-Umbach, R. (2020). Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020 Virtual Shanghai China.
LibreCat: /record/20505

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

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

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

Heymann, J., Haeb-Umbach, R., Golik, P., &; Schlueter, R. (2015). 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 (pp. 5053–5057).https://doi.org/10.1109/ICASSP.2015.7178933 
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Drude, L., Chinaev, A., Tran Vu, D. H., &; Haeb-Umbach, R. (2014). 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) (pp. 213–217).
LibreCat: /record/11753