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Minhua Wu
Minhua Wu
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Model Compression Applied to Small-Footprint Keyword Spotting.
G Tucker, M Wu, M Sun, S Panchapagesan, G Fu, S Vitaladevuni
INTERSPEECH, 1878-1882, 2016
952016
MONOPHONE-BASED BACKGROUND MODELING FOR TWO-STAGE ON-DEVICE WAKE WORD DETECTION
M Wu, S Panchapagesan, M Sun, J Gu, R Thomas, SNP Vitaladevuni, ...
822018
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning
L Mošner, M Wu, A Raju, SHK Parthasarathi, K Kumatani, S Sundaram, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
542019
Pronunciation and silence probability modeling for ASR
G Chen, H Xu, M Wu, D Povey, S Khudanpur
Sixteenth Annual Conference of the International Speech Communication …, 2015
542015
Direct modeling of raw audio with dnns for wake word detection
K Kumatani, S Panchapagesan, M Wu, M Kim, N Strom, G Tiwari, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
512017
Time-delayed bottleneck highway networks using a dft feature for keyword spotting
J Guo, K Kumatani, M Sun, M Wu, A Raju, N Ström, A Mandal
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
392018
Frequency domain multi-channel acoustic modeling for distant speech recognition
W Minhua, K Kumatani, S Sundaram, N Ström, B Hoffmeister
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
372019
Wav2vec-C: A Self-supervised Model for Speech Representation Learning
S Sadhu, D He, CW Huang, SH Mallidi, M Wu, A Rastrow, A Stolcke, ...
arXiv preprint arXiv:2103.08393, 2021
282021
Multi-geometry spatial acoustic modeling for distant speech recognition
K Kumatani, W Minhua, S Sundaram, N Ström, B Hoffmeister
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
182019
An empirical study of cross-lingual transfer learning techniques for small-footprint keyword spotting
M Sun, A Schwarz, M Wu, N Strom, S Matsoukas, S Vitaladevuni
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
122017
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
SN Ray, M Wu, A Raju, P Ghahremani, R Bilgi, M Rao, H Arsikere, ...
arXiv preprint arXiv:2105.07071, 2021
92021
Deep multi-channel acoustic modeling
A Mandal, K Kumatani, N Strom, M Wu, S Sundaram, B Hoffmeister, ...
US Patent 10,726,830, 2020
72020
Deep multi-channel acoustic modeling
A Mandal, K Kumatani, N Strom, M Wu, S Sundaram, B Hoffmeister, ...
US Patent App. 16/932,049, 2020
62020
Monophone-based background modeling for wakeword detection
M Wu, S Panchapagesan, M Sun, SNP Vitaladevuni, B Hoffmeister, ...
US Patent 10,964,315, 2021
42021
Robust Multi-Channel Speech Recognition Using Frequency Aligned Network
T Park, K Kumatani, M Wu, S Sundaram
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
42020
Fully Learnable Front-End for Multi-Channel Acoustic Modeling Using Semi-Supervised Learning
S Wager, A Khare, M Wu, K Kumatani, S Sundaram
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression
A Khare, S Sundaram, M Wu
arXiv preprint arXiv:2002.00122, 2020
22020
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition
B Pulugundla, Y Gao, B King, G Keskin, H Mallidi, M Wu, J Droppo, ...
arXiv preprint arXiv:2105.05920, 2021
12021
Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning
Q Zhang, M Wu, Z Luo, Y Chen
International Conference on Neural Information Processing 8834, 358-365, 2014
12014
Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio
G Keskin, M Wu, B King, H Mallidi, Y Gao, A Rastrow, R Maas
arXiv preprint arXiv:2106.02750, 2021
2021
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