Spoken term detection from bilingual spontaneous speech using code-switched lattice-based structures for words and subword units. - Hung-yi Lee; Yueh-Lien Tang; Hao Tang 002; Lin-Shan Lee (ASRU, 2009)

An initial attempt for phoneme recognition using Structured Support Vector Machine (SVM). - Hao Tang 002; Chao-Hong Meng; Lin-Shan Lee (ICASSP, 2010)

Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach. - Hao Tang 002; Joseph Keshet; Karen Livescu (ACL (1), 2012)

Log-linear dialog manager. - Hao Tang 002; Shinji Watanabe 001; Tim K. Marks; John R. Hershey (ICASSP, 2014)

A comparison of training approaches for discriminative segmental models. - Hao Tang 002; Kevin Gimpel; Karen Livescu (INTERSPEECH, 2014)

Discriminative segmental cascades for feature-rich phone recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (ASRU, 2015)

Signer-independent fingerspelling recognition with deep neural network adaptation. - Taehwan Kim 003; Weiran Wang; Hao Tang 002; Karen Livescu (ICASSP, 2016)

Adapting ASR for under-resourced languages using mismatched transcriptions. - Chunxi Liu; Preethi Jyothi; Hao Tang 002; Vimal Manohar; Rose Sloan; Tyler Kekona; Mark Hasegawa-Johnson; Sanjeev Khudanpur (ICASSP, 2016)

Efficient Segmental Cascades for Speech Recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (INTERSPEECH, 2016)

Triphone State-Tying via Deep Canonical Correlation Analysis. - Weiran Wang; Hao Tang 002; Karen Livescu (INTERSPEECH, 2016)

End-to-end training approaches for discriminative segmental models. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (SLT, 2016)

Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. - Shubham Toshniwal; Hao Tang 002; Liang Lu 001; Karen Livescu (INTERSPEECH, 2017)

Sequence Prediction with Neural Segmental Models. - Hao Tang 002 (CoRR, 2017)

Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. - Taehwan Kim 003; Jonathan Keane; Weiran Wang; Hao Tang 002; Jason Riggle; Gregory Shakhnarovich; Diane Brentari; Karen Livescu (Comput. Speech Lang., 2017)

End-to-End Neural Segmental Models for Speech Recognition. - Hao Tang 002; Liang Lu 001; Lingpeng Kong; Kevin Gimpel; Karen Livescu; Chris Dyer; Noah A. Smith; Steve Renals (IEEE J. Sel. Top. Signal Process., 2017)

ASR for Under-Resourced Languages From Probabilistic Transcription. - Mark A. Hasegawa-Johnson; Preethi Jyothi; Daniel McCloy; Majid Mirbagheri; Giovanni M. Di Liberto; Amit Das 007; Bradley Ekin; Chunxi Liu; Vimal Manohar; Hao Tang 002; Edmund C. Lalor; Nancy F. Chen; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition. - Wei-Ning Hsu; Hao Tang 002; James R. Glass (INTERSPEECH, 2018)

A Study of Enhancement, Augmentation and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. - Hao Tang 002; Wei-Ning Hsu; François Grondin; James R. Glass (INTERSPEECH, 2018)

Frame-Level Speaker Embeddings for Text-Independent Speaker Recognition and Analysis of End-to-End Model. - Suwon Shon; Hao Tang 002; James R. Glass (SLT, 2018)

On Training Recurrent Networks with Truncated Backpropagation Through time in Speech Recognition. - Hao Tang 002; James R. Glass (SLT, 2018)

On The Inductive Bias of Words in Acoustics-to-Word Models. - Hao Tang 002; James R. Glass (CoRR, 2018)

An Unsupervised Autoregressive Model for Speech Representation Learning. - Yu-An Chung; Wei-Ning Hsu; Hao Tang 002; James R. Glass (INTERSPEECH, 2019)

A Deep Residual Network for Large-Scale Acoustic Scene Analysis. - Logan Ford; Hao Tang 002; François Grondin; James R. Glass (INTERSPEECH, 2019)

VoiceID Loss: Speech Enhancement for Speaker Verification. - Suwon Shon; Hao Tang 002; James R. Glass (INTERSPEECH, 2019)

Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. - Achintya Kumar Sarkar; Zheng-Hua Tan; Hao Tang 002; Suwon Shon; James R. Glass (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. - François Grondin; Hao Tang 002; James R. Glass (ICASSP, 2020)

Vector-Quantized Autoregressive Predictive Coding. - Yu-An Chung; Hao Tang 002; James R. Glass (INTERSPEECH, 2020)

Supervised Attention in Sequence-to-Sequence Models for Speech Recognition. - Gene-Ping Yang; Hao Tang 002 (ICASSP, 2022)

Phonetic Analysis of Self-supervised Representations of English Speech. - Dan Wells; Hao Tang 002; Korin Richmond (INTERSPEECH, 2022)

Autoregressive Co-Training for Learning Discrete Speech Representation. - Sung-Lin Yeh; Hao Tang 002 (INTERSPEECH, 2022)

On Compressing Sequences for Self-Supervised Speech Models. - Yen Meng; Hsuan-Jui Chen; Jiatong Shi; Shinji Watanabe 001; Paola García 001; Hung-yi Lee; Hao Tang 002 (SLT, 2022)

Autoregressive Co-Training for Learning Discrete Speech Representations. - Sung-Lin Yeh; Hao Tang 002 (CoRR, 2022)

MelHuBERT: A simplified HuBERT on Mel spectrogram. - Tzu-Quan Lin; Hung-yi Lee; Hao Tang 002 (CoRR, 2022)

Compressing Transformer-based self-supervised models for speech processing. - Tzu-Quan Lin; Tsung-Huan Yang; Chun-Yao Chang; Kuang-Ming Chen; Tzu-hsun Feng; Hung-yi Lee; Hao Tang 002 (CoRR, 2022)

Autoregressive Predictive Coding: A Comprehensive Study. - Gene-Ping Yang; Sung-Lin Yeh; Yu-An Chung; James R. Glass; Hao Tang 002 (IEEE J. Sel. Top. Signal Process., 2022)

MelHuBERT: A Simplified Hubert on Mel Spectrograms. - Tzu-Quan Lin; Hung-Yi Lee; Hao Tang 002 (ASRU, 2023)

Towards Matching Phones and Speech Representations. - Gene-Ping Yang; Hao Tang 002 (ASRU, 2023)

Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. - Sung-Lin Yeh; Hao Tang 002 (ICASSP, 2023)

Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. - Chin-Yun Yu; Sung-Lin Yeh; György Fazekas; Hao Tang 002 (ICASSP, 2023)

Improving Seq2Seq TTS Frontends With Transcribed Speech Audio. - Siqi Sun; Korin Richmond; Hao Tang 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models. - Tzu-Quan Lin; Hung-yi Lee; Hao Tang 002 (INTERSPEECH, 2024)

Property Neurons in Self-Supervised Speech Transformers. - Tzu-Quan Lin; Guan-Ting Lin; Hung-Yi Lee; Hao Tang 002 (SLT, 2024)

A Simple HMM with Self-Supervised Representations for Phone Segmentation. - Gene-Ping Yang; Hao Tang 002 (SLT, 2024)

Estimating the Completeness of Discrete Speech Units. - Sung-Lin Yeh; Hao Tang 002 (SLT, 2024)

Speech-FT: A Fine-tuning Strategy for Enhancing Speech Representation Models Without Compromising Generalization Ability. - Tzu-Quan Lin; Wei-Ping Huang; Hao Tang 002; Hung-yi Lee (CoRR, 2025)

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers. - Tzu-Quan Lin; Hsi-Chun Cheng; Hung-yi Lee; Hao Tang 002 (CoRR, 2025)