Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech

J. Carletta, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, W. Kraaij, M. Kronenthal, B. Lathoud, M. Lincoln, A. Lisowska, I. McCowan, W. Post, D. Reidsma, and P. Wellner, “The AMI meeting corpus: A pre-announcement,” in

2005

Earlier work this paper cites.

S. Wiesler, A. Richard, P. Golik, R. Schlüter, and H. Ney, “RASR/NN: The RWTH neural network toolkit for speech recognition,” in

2014

Earlier work this paper cites.

S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,”

Original

2015

Earlier work this paper cites.

J. Hershey, Z. Chen, J. Le Roux, and S. Watanabe, “Deep clustering: Discriminative embeddings for segmentation and separation,” in

2016

Earlier work this paper cites.

Y. Isik, J. L. Roux, Z. Chen, S. Watanabe, and J. R. Hershey, “Single-channel multi-speaker separation using deep clustering,” in

2016

Earlier work this paper cites.

K. J. Han, A. Chandrashekaran, J. Kim, and I. Lane, “The CAPIO 2017 conversational speech recognition system,”

Original

2017

Earlier work this paper cites.

D. Yu, M. Kolbæk, Z.-H. Tan, and J. Jensen, “Permutation invariant training of deep models for speaker-independent multi-talker speech separation,” in

2017

Cited alongside, same era.

M. Kolbæk, D. Yu, Z.-H. Tan, and J. Jensen, “Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,”

2017

Cited alongside, same era.

D. Yu, X. Chang, and Y. Wian, “Recognizing multi-talker speech with permutation invariant training,” in

2017

Cited alongside, same era.

Z. Chen, Y. Luo, and N. Mesgarani, “Deep attractor network for single-microphone speaker separation,” in

2017

Cited alongside, same era.

P. Doetsch, A. Zeyer, P. Voigtlaender, I. Kulikov, R. Schlüter, and H. Ney, “RETURNN: The RWTH extensible training framework for universal recurrent neural networks,” in

2017

Cited alongside, same era.

J. Barker, S. Watanabe, E. Vincent, and J. Trmal, “The fifth ’CHiME’ speech separation and recognition challenge: Dataset, task and baselines,” in

2018

Later among the works it cites.

H. Seki, T. Hori, S. Watanabe, J. Le Roux, and J. R. Hershey, “A purely end-to-end system for multi-speaker speech recognition,” in

2018

Later among the works it cites.

S. Settle, J. Le Roux, T. Hori, S. Watanabe, and J. R. Hershey, “End-to-end multi-speaker speech recognition,” in

2018

Later among the works it cites.

L. Drude, T. von Neumann, and R. Haeb-Umbach, “Deep attractor networks for speaker re-identification and blind source separation,” in

2018

Later among the works it cites.

X. Chang, Y. Qian, K. Yu, and S. Watanabe, “End-to-end monaural multi-speaker ASR system without pretraining,” in

2019

Closest in time.