Hao Tang 唐顥

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Papers

• DAISY: Data adaptive self-supervised early exit for speech representation models
  Tzu-Quan Lin, Hung-yi Lee, Hao Tang
  Interspeech, 2024
• Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
  Mukhtar Mohamed, Oli Liu, Hao Tang, Sharon Goldwater
  Interspeech, 2024
• A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
  Oli Liu, Hao Tang, Naomi Feldman, Sharon Goldwater
  CogSci, 2024
  (Computational Modeling Prize for Perception & Action)
• Spell4TTS: Acoustically-informed spellings for improving text-to-speech pronunciations
  Jason Fong, Hao Tang, Simon King
  Speech Synthesis Workshop (SSW), 2023
• Towards matching phones and speech representations
  Gene-Ping Yang, Hao Tang
  ASRU, 2023
• MelHuBERT: A simplified HuBERT on Mel spectrograms
  Tzu-Quan Lin, Hung-yi Lee, Hao Tang
  ASRU, 2023
• Acoustic word embeddings for untranscribed target languages with continued pretraining and learned pooling
  Ramon Sanabria, Hao Tang, Sharon Goldwater
  Interspeech, 2023
• Self-supervised predictive coding models encode speaker and phonetic information in orthogonal subspaces
  Oli Liu, Hao Tang, Sharon Goldwater
  Interspeech, 2023
• Improving Seq2Seq TTS frontends with transcribed speech audio
  Siqi Sun, Korin Richmond, Hao Tang
  IEEE/ACM Transctions on Audio, Speech, and Language Processing, 2023
• Attributable and scalable opinion summarization
  Tom Hosking, Hao Tang, Mirella Lapata
  ACL, 2023
• Learning dependencies of discrete speech representations with neural hidden Markov models
  Sung-Lin Yeh, Hao Tang
  ICASSP, 2023
• Analyzing acoustic word embeddings from pre-trained self-supervised speech models
  Ramon Sanabria, Hao Tang, Sharon Goldwater
  ICASSP, 2023
• Conditioning and sampling in variational diffusion models for speech super-resolution
  Chin-Yun Yu, Sung-Lin Yeh, Gyorgy Fazekas, Hao Tang
  ICASSP, 2023
• On compressing sequences for self-supervised speech models
  Yen Meng, Hsuan-Jui Chen, Jiatong Shi, Shinji Watanabe, Paola Garcia, Hung-yi Lee, Hao Tang
  SLT, 2022
• Autoregressive predictive coding: A comprehensive study
  Gene-Ping Yang, Sung-Lin Yeh, Yu-An Chung, James Glass, Hao Tang
  IEEE Journal of Selected Topics in Signal Processing, 2022
• Phonetic analysis of self-supervised representations of english speech
  Dan Wells, Hao Tang, Korin Richmond
  Interspeech, 2022
• Speech audio corrector: Using speech from non-target speakers for one-off correction of mispronunciations in grapheme-input text-to-speech
  Jason Fong, Daniel Lyth, Gustav Eje Henter, Hao Tang, Simon King
  Interspeech, 2022
• Autoregressive co-training for learning discrete speech representation
  Sung-Ling Yeh, Hao Tang
  Interspeech, 2022
• Hierarchical sketch induction for paraphrase generation
  Tom Hosking, Hao Tang, Mirella Lapata
  ACL, 2022
• Supervised attention in sequence-to-sequence models for speech recognition
  Gene-Ping Yang, Hao Tang
  ICASSP, 2022
• On the difficulty of segmenting words with attention
  Ramon Sanabria, Hao Tang, Sharon Goldwater
  Workshop of Insights from Negative Results in NLP, 2021
• Vector-quantized autoregressive predictive coding
  Yu-An Chung, Hao Tang, James Glass
  Interspeech, 2020
  (best student paper award)
• Audio-visual calibration with polynomial regression for 2-D projection using SVD-PHAT
  Francois Grondin, Hao Tang, James Glass
  ICASSP, 2020
• A deep residual network for large-scale acoustic scene analysis
  Logan Ford, Hao Tang, Francois Grondin, James Glass
  Interspeech, 2019
• An unsupervised autoregressive model for speech representation learning
  Yu-An Chung, Wei-Ning Hsu, Hao Tang, James Glass
  Interspeech, 2019
• VoiceID loss: speech enhancement for speaker verification
  Suwon Shon, Hao Tang, James Glass
  Interspeech, 2019
• Time-contrastive learning based deep bottleneck features for text-dependent speaker verification
  Achintya Kr. Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James Glass
  IEEE Transactions on Audio, Speech and Language Processing, 2019
• On the inductive bias of words in acoustics-to-word models
  Hao Tang, James Glass
  arXiv:1810.13407
• On training recurrent networks with truncated backpropagation through time in speech recognition
  Hao Tang, James Glass
  SLT, 2018
• Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model
  Suwon Shon, Hao Tang, James Glass
  SLT, 2018
• A study of enhancement, augmentation, and autoencoder methods for domain adaptation in distant speech recognition
  Hao Tang, Wei-Ning Hsu, Francois Grondin, James Glass
  Interspeech, 2018
• Unsupervised adaptation with interpretable disentangled representations for distant conversational speech recognition
  Wei-Ning Hsu, Hao Tang, James Glass
  Interspeech, 2018
• End-to-end neural segmental models for speech recognition
  Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals
  IEEE Journal of Selected Topics in Signal Processing, 2017
• Lexicon-free fingerspelling recognition from video: data, models, and signer adaptation
  Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
  Computer Speech and Language, 2017
• Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition
  Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu
  Interspeech, 2017
• ASR for under-resourced languages from probabilistic transcription
  Mark Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni di Liberto, Amit Das, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian KC Lee
  IEEE Transactions on Audio, Speech and Language Processing, 2017
• End-to-end training approaches for discriminative segmental models
  Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
  SLT, 2016
• Efficient segmental cascades for speech recognition
  Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
  Interspeech, 2016
• Triphone state-tying via deep canonical correlation analysis
  Weiran Wang, Hao Tang, Karen Livescu
  Interspeech, 2016
• Adapting ASR for under-resourced languages using mismatched transcriptions
  Chunxi Liu, Preethi Jyothi, Hao Tang, Vimal Manohar, Rose Sloan, Tyler Kekona, Mark Hasegawa-Johnson, Sanjeev Khudanpur
  ICASSP, 2016
  (speech and language processing student paper award)
• Signer-independent fingerspelling recognition with deep neural network adaptation
  Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
  ICASSP, 2016
  (best student paper of speech and language processing)
• Discriminative segmental cascades for feature-rich phone recognition
  Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
  ASRU, 2015
  (best paper nominee)
• A comparison of training approaches for discriminative segmental models
  Hao Tang, Kevin Gimpel, Karen Livescu
  Interspeech, 2014
• Log-linear dialog manager
  Hao Tang, Shinji Watanabe, Tim K. Marks, John Hershey
  ICASSP, 2014
• Discriminative pronunciation modeling: a large-margin feature-rich approach
  Hao Tang, Joseph Keshet, Karen Livescu
  ACL, 2012
• An initial attempt for phoneme recognition using structured SVM
  Hao Tang, Chao-Hong Meng, Lin-Shan Lee
  ICASSP, 2010
• Spoken term detection from bilingual spontaneous speech using code-switched lattice-based structure for words and subword units
  Hung-yi Lee, Yueh-Lien Tang, Hao Tang, Lin-Shan Lee
  ASRU, 2009
• Query term selection strategies for web-based Chinese factoid question answering
  Hao Tang, Cheng-Wei Lee, Tian-Jian Jiang, Wen-Lian Hsu
  TAAI, 2006