Bo Li
Title
Cited by
Cited by
Year
State-of-the-art speech recognition with sequence-to-sequence models
CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
3982018
Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems
B Li, KC Sim
INTERSPEECH, 526-529, 2010
1602010
A Comparison of Sequence-to-Sequence Models for Speech Recognition
R Prabhavalkar, K Rao, TN Sainath, B Li, L Johnson, N Jaitly
Proc. Interspeech 2017, 939-943, 2017
1162017
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
TN Sainath, RJ Weiss, KW Wilson, B Li, A Narayanan, E Variani, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 965-979, 2017
972017
Acoustic Modeling for Google Home
B Li, T Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, I Shafran, ...
INTERSPEECH-2017, 2017
952017
Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition.
B Li, TN Sainath, RJ Weiss, KW Wilson, M Bacchiani
INTERSPEECH, 1976-1980, 2016
692016
Streaming End-to-end Speech Recognition for Mobile Devices
Y He, TN Sainath, R Prabhavalkar, I McGraw, R Alvarez, D Zhao, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
662019
Multilingual speech recognition with a single end-to-end model
S Toshniwal, TN Sainath, RJ Weiss, B Li, P Moreno, E Weinstein, K Rao
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
652018
Exploring speech enhancement with generative adversarial networks for robust speech recognition
C Donahue, B Li, R Prabhavalkar
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
572018
A spectral masking approach to noise-robust speech recognition using deep neural networks
B Li, KC Sim
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (8), 1296 …, 2014
492014
Improving robustness of deep neural networks via spectral masking for automatic speech recognition
B Li, KC Sim
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 279-284, 2013
432013
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks
TN Sainath, B Li
INTERSPEECH, 2016
402016
An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition.
B Li, Y Tsao, KC Sim
INTERSPEECH, 3002-3006, 2013
392013
Multi-dialect speech recognition with a single sequence-to-sequence model
B Li, TN Sainath, KC Sim, M Bacchiani, E Weinstein, P Nguyen, Z Chen, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
362018
Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN based Statistical Parametric Speech Synthesis
B Li, H Zen
INTERSPEECH, 2016
362016
Noise adaptive front-end normalization based on vector Taylor series for deep neural networks in robust speech recognition
B Li, KC Sim
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
342013
An Analysis of “Attention” in Sequence-to-Sequence Models
R Prabhavalkar, TN Sainath, B Li, K Rao, N Jaitly
Proc. Interspeech 2017, 3702-3706, 2017
302017
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
272019
No need for a lexicon? evaluating the value of the pronunciation lexica in end-to-end models
TN Sainath, R Prabhavalkar, S Kumar, S Lee, A Kannan, D Rybach, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
242018
Deep Learning for Audio Signal Processing
H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath
IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019
212019
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Articles 1–20