Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks

J. B. Allen and D. A. Berkley, “Image method for efficiently simulating small-room acoustics,”

1979

Earlier work this paper cites.

H. Erdogan, J. R. Hershey, S. Watanabe, M. Mandel, and J. Le Roux, “Improved MVDR beamforming using single-channel mask prediction networks,” in

1985

Earlier work this paper cites.

J. G. Fiscus, N. Radde, J. S. Garofolo, J. A. A. Le, and C. Laprun, “The rich transcription 2005 spring meeting recogntion evaluation,” in

2005

Earlier work this paper cites.

O. Çetin and E. Shriberg, “Analysis of overlaps in meetings by dialog factors, hot spots, speakers, and collection site: Insights for automatic speech recognition,” in

2006

Earlier work this paper cites.

J. G. Fiscus, J. Ajot, N. Raddle, and C. Laprum, “Multiple dimension Levenshtein edit distance calculations for evaluating automatic speech recognition systems during simulaneous speech,” in

2006

Earlier work this paper cites.

M. Souden, J. Benesty, and S. Affes, “On optimal frequency-domain multichannel linear filtering for noise reduction,”

2007

Earlier work this paper cites.

X. Anguera, C. Wooters, and J. Hernando, “Acoustic beamforming for speaker diarization of meetings,”

2007

Earlier work this paper cites.

T. Hori, S. Araki, T. Yoshioka, M. Fujimoto, S. Watanabe, T. Oba, A. Ogawa, K. Otsuka, D. Mikami, K. Kinoshita, T. Nakatani, A. Nakamura, and J. Yamato, “Low-latency real-time meeting recognition and understanding using distant microphones and omni-directional camera,”

2011

Earlier work this paper cites.

D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, “The Kaldi speech recognition toolkit,” in

2011

Earlier work this paper cites.

T. Hain, L. Burget, J. Dines, P. N. Garner, F. Grézl, A. El Hannani, M. Huijbregts, M. Karafiát, M. Lincoln, and V. Wan, “Transcribing meetings with the AMIDA systems,”

2012

Earlier work this paper cites.

T. Yoshioka and T. Nakatani, “Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening,”

2012

Cited alongside, same era.

F. Seide, H. Fu, J. Droppo, G. Li, and D. Yu, “1-bit stochastic gradient descent and application to data-parallel distributed training of speech DNNs,” in

2014

Cited alongside, same era.

D. Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski, A. Coates, G. Diamos, E. Elsen, J. Engel, L. Fan, C. Fougner, T. Han, A. Y. Hannun, B. Jun, P. LeGresley, L. Lin, S. Narang, A. Y. Ng, S. Ozair, R. Prenger, J. Raiman, S. Satheesh, D. Seetapun, S. Sengupta, Y. Wang, Z. Wang, C. Wang, B. Xiao, D. Yogatama, J. Zhan, and Z. Zhu, “Deep speech 2: End-to-end speech recognition in english and mandarin,”

Original

2015

Cited alongside, same era.

A. Mohamed, F. Seide, D. Yu, J. Droppo, A. Stolcke, G. Zweig, and G. Penn, “Deep bi-directional recurrent networks over spectral windows,” in

2015

Cited alongside, same era.

C. Chiu, A. Tripathi, K. Chou, C. Co, N. Jaitly, D. Jaunzeikare, A. Kannan, P. Nguyen, H. Sak, A. Sankar, J. Tansuwan, N. Wan, Y. Wu, and X. Zhang, “Speech recognition for medical conversations,”

Original

2017

Later among the works it cites.

L. Drude and R. Haeb-Umbach, “Tight integration of spatial and spectral features for BSS with deep clustering embeddings,” in

2017

Later among the works it cites.

Z. Chen, J. Droppo, J. Li, and W. Xiong, “Progressive joint modeling in unsupervised single-channel overlapped speech recognition,”

Original

2017

Later among the works it cites.

K. Žmolíková, M. Delcroix, K. Kinoshita, T. Higuchi, A. Ogawa, and T. Nakatani, “Learning speaker representation for neural network based multichannel speaker extraction,” in

2017

Later among the works it cites.