Brian Kan-wing Mak
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A robust algorithm for word boundary detection in the presence of noise
JC Junqua, B Mak, B Reaves
IEEE Transactions on speech and audio processing 2 (3), 406-412, 1994
Self-attentive speaker embeddings for text-independent speaker verification.
Y Zhu, T Ko, D Snyder, B Mak, D Povey
Interspeech 2018, 3573-3577, 2018
Phone clustering using the Bhattacharyya distance
B Mak, E Barnard
Proceeding of Fourth International Conference on Spoken Language Processing …, 1996
The contribution of consonants versus vowels to word recognition in fluent speech
RA Cole, Y Yan, B Mak, M Fanty, T Bailey
1996 IEEE International Conference on Acoustics, Speech, and Signal …, 1996
A study of endpoint detection algorithms in adverse conditions: incidence on a DTW and HMM recognizer
JC Junqua, B Reaves, B Mak
2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1991
Subspace distribution clustering hidden Markov model
E Bocchieri, BKW Mak
IEEE transactions on Speech and Audio Processing 9 (3), 264-275, 2001
Multitask learning of deep neural networks for low-resource speech recognition
D Chen, BKW Mak
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (7), 1172 …, 2015
PLASER: Pronunciation learning via automatic speech recognition
B Mak, M Siu, M Ng, YC Tam, YC Chan, KW Chan, KY Leung, S Ho, ...
Proceedings of the HLT-NAACL 03 workshop on Building educational …, 2003
Stochastic fine-grained labeling of multi-state sign glosses for continuous sign language recognition
Z Niu, B Mak
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition
D Chen, B Mak, CC Leung, S Sivadas
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Tone recognition of isolated Cantonese syllables
T Lee, PC Ching, LW Chan, YH Cheng, B Mak
IEEE Transactions on speech and audio processing 3 (3), 204-209, 1995
End-to-end low-resource lip-reading with maxout CNN and LSTM
I Fung, B Mak
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Kernel eigenvoice speaker adaptation
B Mak, JT Kwok, S Ho
IEEE Transactions on Speech and Audio Processing 13 (5), 984-992, 2005
Two-stream network for sign language recognition and translation
Y Chen, R Zuo, F Wei, Y Wu, S Liu, B Mak
Advances in Neural Information Processing Systems 35, 17043-17056, 2022
C2slr: Consistency-enhanced continuous sign language recognition
R Zuo, B Mak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
A comparison of various adaptation methods for speaker verification with limited enrollment data
MW Mak, R Hsiao, B Mak
2006 IEEE international conference on acoustics speech and signal processing …, 2006
Improving reference speaker weighting adaptation by the use of maximum-likelihood reference speakers
B Mak, TC Lai, R Hsiao
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
Subspace distribution clustering for continuous observation density hidden Markov models.
E Bocchieri, B Mak
Eurospeech, 1997
Kernel eigenspace-based MLLR adaptation
BKW Mak, RWH Hsiao
IEEE transactions on audio, speech, and language processing 15 (3), 784-795, 2007
Discriminative auditory-based features for robust speech recognition
BKW Mak, YC Tam, PQ Li
IEEE transactions on speech and audio processing 12 (1), 27-36, 2004
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