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305 Publications
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: 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: 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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