Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework

Y. LeCun, Y. Bengio

1995

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

2011

Earlier work this paper cites.

A. Graves, A.-r. Mohamed, and G. Hinton, “Speech recognition with deep recurrent neural networks,” in

2013

Earlier work this paper cites.

J. Xue, J. Li, and Y. Gong, “Restructuring of deep neural network acoustic models with singular value decomposition.” in

2013

Earlier work this paper cites.

V. Peddinti, D. Povey, and S. Khudanpur, “A time delay neural network architecture for efficient modeling of long temporal contexts,” in

2015

Earlier work this paper cites.

V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an asr corpus based on public domain audio books,” in

2015

Earlier work this paper cites.

D. Povey, V. Peddinti, D. Galvez, P. Ghahremani, V. Manohar, X. Na, Y. Wang, and S. Khudanpur, “Purely sequence-trained neural networks for asr based on lattice-free mmi.” in

2016

Cited alongside, same era.

J. H. Wong and M. Gales, “Sequence student-teacher training of deep neural networks,” in

2016

Cited alongside, same era.

B. Jacob, S. Kligys, B. Chen, M. Zhu, M. Tang, A. Howard, H. Adam, and D. Kalenichenko, “Quantization and training of neural networks for efficient integer-arithmetic-only inference,” in

2018

Cited alongside, same era.

D. Povey, G. Cheng, Y. Wang, K. Li, H. Xu, M. Yarmohammadi, and S. Khudanpur, “Semi-orthogonal low-rank matrix factorization for deep neural networks.” in

2018

Cited alongside, same era.

F. Keith, W. Hartmann, M.-H. Siu, J. Ma, and O. Kimball, “Optimizing multilingual knowledge transfer for time-delay neural networks with low-rank factorization,” in

R. Krishnamoorthi, “Quantizing deep convolutional networks for efficient inference: A whitepaper,”

Original

2018

Later among the works it cites.

D. Can, V. R. Martinez, P. Papadopoulos, and S. S. Narayanan, “Pykaldi: A python wrapper for kaldi,” in

2018

Later among the works it cites.

H. Hadian, H. Sameti, D. Povey, and S. Khudanpur, “End-to-end speech recognition using lattice-free mmi.” in

2018

Later among the works it cites.

A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga

2019

Later among the works it cites.

S. Madikeri, S. Tong, J. Zuluaga-Gomez, A. Vyas, P. Motlicek, and H. Bourlard, “Pkwrap: a pytorch package for lf-mmi training of acoustic models,”

Original

2020

Closest in time.