Hao Tang - RankMe

88 papers A 17B 1C 6Misc 9Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Effective Context in Neural Speech Models. INTERSPEECH Yen Meng, Sharon Goldwater, Hao Tang
2025	J	`jnl`	Effective Context in Neural Speech Models. CoRR Yen Meng, Sharon Goldwater, Hao Tang
2025	—	`conf`	Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers. APSIPA Tzu-Quan Lin, Hsi-Chun Cheng, Hung-yi Lee, Hao Tang
2025	J	`jnl`	Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers. CoRR Tzu-Quan Lin, Hsi-Chun Cheng, Hung-yi Lee, Hao Tang
2025	C	`conf`	Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers. ASRU Tzu-Quan Lin, Tsung-Huan Yang, Chun-Yao Chang, Kuang-Ming Chen, Tzu-hsun Feng, Hung-yi Lee, Hao Tang
2025	J	`jnl`	Speech-FT: A Fine-tuning Strategy for Enhancing Speech Representation Models Without Compromising Generalization Ability. CoRR Tzu-Quan Lin, Wei-Ping Huang, Hao Tang, Hung-yi Lee
2025	C	`conf`	Whisper Has an Internal Word Aligner. ASRU Sung-Lin Yeh, Yen Meng, Hao Tang
2025	J	`jnl`	Whisper Has an Internal Word Aligner. CoRR Sung-Lin Yeh, Yen Meng, Hao Tang
2024	—	`conf`	A Simple HMM with Self-Supervised Representations for Phone Segmentation. SLT Gene-Ping Yang, Hao Tang
2024	J	`jnl`	A Simple HMM with Self-Supervised Representations for Phone Segmentation. CoRR Gene-Ping Yang, Hao Tang
2024	B	`conf`	A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech. CogSci Oli Danyi Liu, Hao Tang, Naomi H. Feldman, Sharon Goldwater
2024	J	`jnl`	A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech. CoRR Oli Danyi Liu, Hao Tang, Naomi Feldman, Sharon Goldwater
2024	A	`conf`	DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models. INTERSPEECH Tzu-Quan Lin, Hung-yi Lee, Hao Tang
2024	J	`jnl`	DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models. CoRR Tzu-Quan Lin, Hung-yi Lee, Hao Tang
2024	—	`conf`	Estimating the Completeness of Discrete Speech Units. SLT Sung-Lin Yeh, Hao Tang
2024	J	`jnl`	Estimating the Completeness of Discrete Speech Units. CoRR Sung-Lin Yeh, Hao Tang
2024	A	`conf`	Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations. INTERSPEECH Mukhtar Mohamed, Oli Danyi Liu, Hao Tang, Sharon Goldwater
2024	J	`jnl`	Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations. CoRR Mukhtar Mohamed, Oli Danyi Liu, Hao Tang, Sharon Goldwater
2024	—	`conf`	Property Neurons in Self-Supervised Speech Transformers. SLT Tzu-Quan Lin, Guan-Ting Lin, Hung-yi Lee, Hao Tang
2024	J	`jnl`	Property Neurons in Self-Supervised Speech Transformers. CoRR Tzu-Quan Lin, Guan-Ting Lin, Hung-yi Lee, Hao Tang
2023	A	`conf`	Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling. INTERSPEECH Ramon Sanabria, Ondrej Klejch, Hao Tang, Sharon Goldwater
2023	J	`jnl`	Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling. CoRR Ramon Sanabria, Ondrej Klejch, Hao Tang, Sharon Goldwater
2023	Misc	`conf`	Analyzing Acoustic Word Embeddings from Pre-Trained Self-Supervised Speech Models. ICASSP Ramon Sanabria, Hao Tang, Sharon Goldwater
2023	Misc	`conf`	Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. ICASSP Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
2023	J	`jnl`	Improving Seq2Seq TTS Frontends With Transcribed Speech Audio. IEEE ACM Trans. Audio Speech Lang. Process. Siqi Sun, Korin Richmond, Hao Tang
2023	Misc	`conf`	Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. ICASSP Sung-Lin Yeh, Hao Tang
2023	C	`conf`	MelHuBERT: A Simplified Hubert on Mel Spectrograms. ASRU Tzu-Quan Lin, Hung-yi Lee, Hao Tang
2023	A	`conf`	Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces. INTERSPEECH Oli Danyi Liu, Hao Tang, Sharon Goldwater
2023	J	`jnl`	Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces. CoRR Oli Danyi Liu, Hao Tang, Sharon Goldwater
2023	C	`conf`	Towards Matching Phones and Speech Representations. ASRU Gene-Ping Yang, Hao Tang
2023	J	`jnl`	Towards Matching Phones and Speech Representations. CoRR Gene-Ping Yang, Hao Tang
2022	J	`jnl`	Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models. CoRR Ramon Sanabria, Hao Tang, Sharon Goldwater
2022	A	`conf`	Autoregressive Co-Training for Learning Discrete Speech Representation. INTERSPEECH Sung-Lin Yeh, Hao Tang
2022	J	`jnl`	Autoregressive Co-Training for Learning Discrete Speech Representations. CoRR Sung-Lin Yeh, Hao Tang
2022	J	`jnl`	Autoregressive Predictive Coding: A Comprehensive Study. IEEE J. Sel. Top. Signal Process. Gene-Ping Yang, Sung-Lin Yeh, Yu-An Chung, James R. Glass, Hao Tang
2022	J	`jnl`	Compressing Transformer-based self-supervised models for speech processing. CoRR Tzu-Quan Lin, Tsung-Huan Yang, Chun-Yao Chang, Kuang-Ming Chen, Tzu-hsun Feng, Hung-yi Lee, Hao Tang
2022	J	`jnl`	Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution. CoRR Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
2022	J	`jnl`	Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. CoRR Sung-Lin Yeh, Hao Tang
2022	J	`jnl`	MelHuBERT: A simplified HuBERT on Mel spectrogram. CoRR Tzu-Quan Lin, Hung-yi Lee, Hao Tang
2022	—	`conf`	On Compressing Sequences for Self-Supervised Speech Models. SLT Yen Meng, Hsuan-Jui Chen, Jiatong Shi, Shinji Watanabe, Paola García, Hung-yi Lee, Hao Tang
2022	J	`jnl`	On Compressing Sequences for Self-Supervised Speech Models. CoRR Yen Meng, Hsuan-Jui Chen, Jiatong Shi, Shinji Watanabe, Paola García, Hung-yi Lee, Hao Tang
2022	A	`conf`	Phonetic Analysis of Self-supervised Representations of English Speech. INTERSPEECH Dan Wells, Hao Tang, Korin Richmond
2022	Misc	`conf`	Supervised Attention in Sequence-to-Sequence Models for Speech Recognition. ICASSP Gene-Ping Yang, Hao Tang
2022	J	`jnl`	Supervised Attention in Sequence-to-Sequence Models for Speech Recognition. CoRR Gene-Ping Yang, Hao Tang
2021	J	`jnl`	On the Difficulty of Segmenting Words with Attention. CoRR Ramon Sanabria, Hao Tang, Sharon Goldwater
2020	Misc	`conf`	Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. ICASSP François Grondin, Hao Tang, James R. Glass
2020	J	`jnl`	Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. CoRR François Grondin, Hao Tang, James R. Glass
2020	A	`conf`	Vector-Quantized Autoregressive Predictive Coding. INTERSPEECH Yu-An Chung, Hao Tang, James R. Glass
2020	J	`jnl`	Vector-Quantized Autoregressive Predictive Coding. CoRR Yu-An Chung, Hao Tang, James R. Glass
2019	A	`conf`	A Deep Residual Network for Large-Scale Acoustic Scene Analysis. INTERSPEECH Logan Ford, Hao Tang, François Grondin, James R. Glass
2019	A	`conf`	An Unsupervised Autoregressive Model for Speech Representation Learning. INTERSPEECH Yu-An Chung, Wei-Ning Hsu, Hao Tang, James R. Glass
2019	J	`jnl`	An Unsupervised Autoregressive Model for Speech Representation Learning. CoRR Yu-An Chung, Wei-Ning Hsu, Hao Tang, James R. Glass
2019	J	`jnl`	Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. CoRR Achintya Kumar Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James R. Glass
2019	J	`jnl`	Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. Achintya Kumar Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James R. Glass
2019	A	`conf`	VoiceID Loss: Speech Enhancement for Speaker Verification. INTERSPEECH Suwon Shon, Hao Tang, James R. Glass
2019	J	`jnl`	VoiceID Loss: Speech Enhancement for Speaker Verification. CoRR Suwon Shon, Hao Tang, James R. Glass
2018	A	`conf`	A Study of Enhancement, Augmentation and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. INTERSPEECH Hao Tang, Wei-Ning Hsu, François Grondin, James R. Glass
2018	J	`jnl`	A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. CoRR Hao Tang, Wei-Ning Hsu, François Grondin, James R. Glass
2018	—	`conf`	Frame-Level Speaker Embeddings for Text-Independent Speaker Recognition and Analysis of End-to-End Model. SLT Suwon Shon, Hao Tang, James R. Glass
2018	J	`jnl`	Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model. CoRR Suwon Shon, Hao Tang, James R. Glass
2018	J	`jnl`	On The Inductive Bias of Words in Acoustics-to-Word Models. CoRR Hao Tang, James R. Glass
2018	J	`jnl`	On Training Recurrent Networks with Truncated Backpropagation Through Time in Speech Recognition. CoRR Hao Tang, James R. Glass
2018	—	`conf`	On Training Recurrent Networks with Truncated Backpropagation Through time in Speech Recognition. SLT Hao Tang, James R. Glass
2018	A	`conf`	Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition. INTERSPEECH Wei-Ning Hsu, Hao Tang, James R. Glass
2018	J	`jnl`	Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition. CoRR Wei-Ning Hsu, Hao Tang, James R. Glass
2017	J	`jnl`	ASR for Under-Resourced Languages From Probabilistic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. Mark A. Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni M. Di Liberto, Amit Das, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy F. Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee
2017	J	`jnl`	End-to-End Neural Segmental Models for Speech Recognition. CoRR Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals
2017	J	`jnl`	End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals
2017	J	`jnl`	Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. Comput. Speech Lang. Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
2017	A	`conf`	Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. INTERSPEECH Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu
2017	J	`jnl`	Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. CoRR Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu
2017	J	`jnl`	Sequence Prediction with Neural Segmental Models. CoRR Hao Tang
2016	Misc	`conf`	Adapting ASR for under-resourced languages using mismatched transcriptions. ICASSP Chunxi Liu, Preethi Jyothi, Hao Tang, Vimal Manohar, Rose Sloan, Tyler Kekona, Mark Hasegawa-Johnson, Sanjeev Khudanpur
2016	A	`conf`	Efficient Segmental Cascades for Speech Recognition. INTERSPEECH Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	Efficient Segmental Cascades for Speech Recognition. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	End-to-End Training Approaches for Discriminative Segmental Models. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	—	`conf`	End-to-end training approaches for discriminative segmental models. SLT Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation. CoRR Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
2016	J	`jnl`	Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation. CoRR Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
2016	Misc	`conf`	Signer-independent fingerspelling recognition with deep neural network adaptation. ICASSP Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
2016	A	`conf`	Triphone State-Tying via Deep Canonical Correlation Analysis. INTERSPEECH Weiran Wang, Hao Tang, Karen Livescu
2015	J	`jnl`	Discriminative Segmental Cascades for Feature-Rich Phone Recognition. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2015	C	`conf`	Discriminative segmental cascades for feature-rich phone recognition. ASRU Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2014	A	`conf`	A comparison of training approaches for discriminative segmental models. INTERSPEECH Hao Tang, Kevin Gimpel, Karen Livescu
2014	Misc	`conf`	Log-linear dialog manager. ICASSP Hao Tang, Shinji Watanabe, Tim K. Marks, John R. Hershey
2012	—	`conf`	Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach. ACL (1) Hao Tang, Joseph Keshet, Karen Livescu
2010	Misc	`conf`	An initial attempt for phoneme recognition using Structured Support Vector Machine (SVM). ICASSP Hao Tang, Chao-Hong Meng, Lin-Shan Lee
2009	C	`conf`	Spoken term detection from bilingual spontaneous speech using code-switched lattice-based structures for words and subword units. ASRU Hung-yi Lee, Yueh-Lien Tang, Hao Tang, Lin-Shan Lee