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This paper applies the dual-signal transformation LSTM network (DTLN) to the task of real-time acoustic echo cancellation (AEC).
“Image method for efficiently simulating small-room acoustics,”
Jont B Allen and David A Berkley, · 1979
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“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
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“ITU-T P.831: Subjective performance evaluation of network echo cancellers.,” 1998
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“Acoustical sound database in real environments for sound scene understanding and hands-free speech recognition,”
Satoshi Nakamura, Kazuo Hiyane, Futoshi Asano, Takanobu Nishiura, and Takeshi Yamada, · 2000
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Advances in network and acoustic echo cancellation
Jacob Benesty, Tomas Gänsler, Dennis R Morgan, M Mohan Sondhi, Steven L Gay, et al., · 2001
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“ITU-T P.862: Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs.,” 2001
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“A binaural room impulse response database for the evaluation of dereverberation algorithms,”
Marco Jeub, Magnus Schafer, and Peter Vary, · 2009
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“ITU-T G.168: Digital network echo cancellers.,” 2012
2012
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“The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech,”
Keisuke Kinoshita, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani, Emanuel Habets, Reinhold Haeb-Umbach, Volker Leutnant, Armin Sehr, Walter Kellermann, Roland Maas, et al., · 2013
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“Chapter 30. acoustic echo control,”
Gerald Enzner, Herbert Buchner, Alexis Favrot, and Fabian Kuech, · 2014
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“Empirical evaluation of gated recurrent neural networks on sequence modeling,”
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio, · 2014
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“Musan: A music, speech, and noise corpus,”
David Snyder, Guoguo Chen, and Daniel Povey, · 2015
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Diederik P. Kingma and Jimmy Ba, · 2015
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“A study on data augmentation of reverberant speech for robust speech recognition,”
Tom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L Seltzer, and Sanjeev Khudanpur, · 2017
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“Acoustic echo cancellation by combining adaptive digital filter and recurrent neural network,”
Lu Ma, Hua Huang, Pei Zhao, and Tengrong Su, · 2020
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Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, and Eric Humbert, · 2020
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“A perceptually-motivated approach for low-complexity, real-time enhancement of fullband speech,”
Jean-Marc Valin, Umut Isik, Neerad Phansalkar, Ritwik Giri, Karim Helwani, and Arvindh Krishnaswamy, · 2020
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“Deep learning for acoustic echo cancellation in noisy and double-talk scenarios,”
H. Zhang and D. Wang, · 2018
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Yanxin Hu, Yun Liu, Shubo Lv, Mengtao Xing, Shimin Zhang, Yihui Fu, Jian Wu, Bihong Zhang, and Lei Xie, · 2020
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“Dual-signal transformation lstm network for real-time noise suppression,”
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Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, and Arvindh Krishnaswamy, · 2020
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“Icassp 2021 deep noise suppression challenge,”
Chandan KA Reddy, Harishchandra Dubey, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, and Sriram Srinivasan, · 2020
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