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318 Publications


2019 | Conference Paper | LibreCat-ID: 15796 | OA
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 | OA
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 | OA
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 | OA
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 | OA
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 | OA
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 | OA
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 | OA
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 | OA
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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