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Hao Tang
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Cited by
Year
An unsupervised autoregressive model for speech representation learning
YA Chung, WN Hsu, H Tang, J Glass
Interspeech, 2019
4242019
Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition
S Toshniwal, H Tang, L Lu, K Livescu
Interspeech, 2017
1242017
Vector-quantized autoregressive predictive coding
YA Chung, H Tang, J Glass
Interspeech, 2020
1072020
Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model
S Shon, H Tang, J Glass
IEEE Workshop on Spoken Language Technology (SLT), 2018
942018
VoiceID loss: Speech enhancement for speaker verification
S Shon, H Tang, J Glass
Interspeech, 2019
872019
A deep residual network for large-scale acoustic scene analysis
L Ford, H Tang, F Grondin, J Glass
Interspeech, 2019
522019
Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation
T Kim, J Keane, W Wang, H Tang, J Riggle, G Shakhnarovich, D Brentari, ...
Computer Speech & Language, 2017
492017
End-to-end neural segmental models for speech recognition
H Tang, L Lu, L Kong, K Gimpel, K Livescu, C Dyer, NA Smith, S Renals
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1254-1264, 2017
392017
ASR for under-resourced languages from probabilistic transcription
M Hasegawa-Johnson, P Jyothi, D McCloy, M Mirbagheri, G di Liberto, ...
IEEE Transactions on Audio, Speech and Language Processing, 2017
392017
Adapting ASR for under-resourced languages using mismatched transcriptions
C Liu, P Jyothi, H Tang, V Manohar, M Hasegawa-Johnson, S Khudanpur
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016
312016
A study of enhancement, augmentation, and autoencoder methods for domain adaptation in distant speech recognition
H Tang, WN Hsu, F Grondin, J Glass
Interspeech, 2018
292018
Hierarchical sketch induction for paraphrase generation
T Hosking, H Tang, M Lapata
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
282022
Time-contrastive learning based deep bottleneck features for text-dependent speaker verification
AK Sarkar, ZH Tan, H Tang, S Shon, J Glass
arXiv preprint arXiv:1905.04554, 2019
262019
On training recurrent networks with truncated backpropagation through time in speech recognition
H Tang, J Glass
IEEE Workshop on Spoken Language Technology (SLT), 2018
252018
Discriminative segmental cascades for feature-rich phone recognition
H Tang, W Wang, K Gimpel, K Livescu
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 561-568, 2015
222015
Unsupervised adaptation with interpretable disentangled representations for distant conversational speech recognition
WN Hsu, H Tang, J Glass
Interspeech, 2018
212018
Signer-independent fingerspelling recognition with deep neural network adaptation
T Kim, W Wang, H Tang, K Livescu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016
192016
An initial attempt for phoneme recognition using Structured Support Vector Machine (SVM)
H Tang, CH Meng, LS Lee
IEEE International Conference on Acoustics Speech and Signal Processing …, 2010
172010
Discriminative pronunciation modeling: A large-margin, feature-rich approach
H Tang, J Keshet, K Livescu
Annual Meeting of the Association for Computational Linguistics (ACL), 194-203, 2012
162012
Analyzing acoustic word embeddings from pre-trained self-supervised speech models
R Sanabria, H Tang, S Goldwater
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
142023
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Articles 1–20