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318 Publications


2018 | Conference Paper | LibreCat-ID: 12900 | OA
L. Drude, Takuya Higuchi, K. Kinoshita, T. Nakatani, and R. Haeb-Umbach, “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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2018 | Conference Paper | LibreCat-ID: 12901 | OA
C. Boeddeker, H. Erdogan, T. Yoshioka, and R. Haeb-Umbach, “Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition,” in ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 29923 | OA
S. Watanabe et al., “ESPnet: End-to-End Speech Processing Toolkit,” in INTERSPEECH 2018, Hyderabad, India, 2018, pp. 2207–2211, doi: 10.21437/Interspeech.2018-1456.
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2018 | Conference Paper | LibreCat-ID: 12899 | OA
C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, and R. Haeb-Umbach, “Front-End Processing for the CHiME-5 Dinner Party Scenario,” 2018.
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2018 | Conference Paper | LibreCat-ID: 6859
H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
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2018 | Conference Paper | LibreCat-ID: 11747 | OA
C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 | OA
T. Glarner, P. Hanebrink, J. Ebbers, and R. Haeb-Umbach, “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11838 | OA
J. Schmalenstroeer and R. Haeb-Umbach, “Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11876 | OA
M. Kitza et al., “The RWTH/UPB System Combination for the CHiME 2018 Workshop,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11836 | OA
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking Neural Network Architectures for Acoustic Sensor Networks,” 2018.
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