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2020 – today
- 2024
[j26]Shu-Wen Yang
, Heng-Jui Chang, Zili Huang, Andy T. Liu, Cheng-I Lai, Haibin Wu, Jiatong Shi, Xuankai Chang, Hsiang-Sheng Tsai, Wen-Chin Huang, Tzu-hsun Feng, Po-Han Chi, Yist Y. Lin, Yung-Sung Chuang, Tzu-Hsien Huang, Wei-Cheng Tseng, Kushal Lakhotia, Shang-Wen Li, Abdelrahman Mohamed, Shinji Watanabe, Hung-yi Lee:
A Large-Scale Evaluation of Speech Foundation Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2884-2899 (2024)- [j25]Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-wen Li, Hung-Yi Lee:
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3730-3744 (2024) - [c215]Cheng-Han Chiang, Hung-yi Lee:
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations. ACL (Findings) 2024: 2734-2751 - [c214]Guan-Ting Lin, Cheng-Han Chiang, Hung-yi Lee:
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations. ACL (1) 2024: 6626-6642 - [c213]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. ACL (Findings) 2024: 10330-10348 - [c212]Shih-Cheng Huang, Pin-Zu Li, Yu-Chi Hsu, Kuang-Ming Chen, Yu-Tung Lin, Shih-Kai Hsiao, Richard Tzong-Han Tsai, Hung-yi Lee:
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages. ACL (1) 2024: 10943-10959 - [c211]Siddhant Arora, Ankita Pasad, Chung-Ming Chien, Jionghao Han, Roshan S. Sharma, Jee-weon Jung, Hira Dhamyal, William Chen, Suwon Shon, Hung-yi Lee, Karen Livescu, Shinji Watanabe:
On the Evaluation of Speech Foundation Models for Spoken Language Understanding. ACL (Findings) 2024: 11923-11938 - [c210]Cheng-Han Chiang, Hung-yi Lee:
Over-Reasoning and Redundant Calculation of Large Language Models. EACL (2) 2024: 161-169 - [c209]Hsuan-Fu Wang, Yi-Jen Shih, Heng-Jui Chang, Layne Berry, Puyuan Peng, Hung-Yi Lee, Hsin-Min Wang, David Harwath:
SpeechCLIP+: Self-Supervised Multi-Task Representation Learning for Speech Via Clip and Speech-Image Data. ICASSP Workshops 2024: 465-469 - [c208]Fabian Ritter Gutierrez, Kuan-Po Huang, Dianwen Ng, Jeremy H. M. Wong, Hung-Yi Lee, Eng Siong Chng, Nancy F. Chen:
Noise Robust Distillation of Self-Supervised Speech Models via Correlation Metrics. ICASSP Workshops 2024: 495-499 - [c207]Chih-Kai Yang, Kuan-Po Huang, Ke-Han Lu, Chun-Yi Kuan, Chi-Yuan Hsiao, Hung-Yi Lee:
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR And Speech-to-Text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision. ICASSP Workshops 2024: 540-544 - [c206]Hung-Chieh Fang, Nai-Xuan Ye, Yi-Jen Shih, Puyuan Peng, Hsuan-Fu Wang, Layne Berry, Hung-Yi Lee, David Harwath:
Integrating Self-Supervised Speech Model with Pseudo Word-Level Targets from Visually-Grounded Speech Model. ICASSP Workshops 2024: 645-649 - [c205]Tzu-Han Lin, How-Shing Wang, Hao-Yung Weng, Kuang-Chen Peng, Zih-Ching Chen, Hung-Yi Lee:
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques. ICASSP Workshops 2024: 705-709 - [c204]Haibin Wu, Heng-Cheng Kuo, Yu Tsao, Hung-Yi Lee:
Scalable Ensemble-Based Detection Method Against Adversarial Attacks For Speaker Verification. ICASSP 2024: 4670-4674 - [c203]Yuan Tseng, Layne Berry, Yiting Chen, I-Hsiang Chiu, Hsuan-Hao Lin, Max Liu, Puyuan Peng, Yi-Jen Shih, Hung-Yu Wang, Haibin Wu, Poyao Huang, Chun-Mao Lai, Shang-Wen Li, David Harwath, Yu Tsao, Abdelrahman Mohamed, Chi-Luen Feng, Hung-Yi Lee:
AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models. ICASSP 2024: 6890-6894 - [c202]Xuanjun Chen, Haibin Wu, Chung-Che Wang, Hung-Yi Lee, Jyh-Shing Roger Jang:
Multimodal Transformer Distillation for Audio-Visual Synchronization. ICASSP 2024: 7755-7759 - [c201]Kuan-Po Huang, Chih-Kai Yang, Yu-Kuan Fu, Ewan Dunbar, Hung-Yi Lee:
Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages. ICASSP 2024: 10006-10010 - [c200]Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-Yi Lee, Ivan Bulyko:
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. ICASSP 2024: 10316-10320 - [c199]Chien-Yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-Yi Lee:
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. ICASSP 2024: 12136-12140 - [c198]Chyi-Jiunn Lin, Guan-Ting Lin, Yung-Sung Chuang, Wei-Lun Wu, Shang-Wen Li, Abdelrahman Mohamed, Hung-Yi Lee, Lin-Shan Lee:
SpeechDPR: End-To-End Spoken Passage Retrieval For Open-Domain Spoken Question Answering. ICASSP 2024: 12476-12480 - [c197]Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-Yi Lee, Ariya Rastrow, Andreas Stolcke:
Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP 2024: 12856-12860 - [c196]Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee:
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning. NAACL (Student Research Workshop) 2024: 1-7 - [i259]Chih-Kai Yang, Kuan-Po Huang, Ke-Han Lu, Chun-Yi Kuan, Chi-Yuan Hsiao, Hung-yi Lee:
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision. CoRR abs/2401.00273 (2024) - [i258]Tzu-Han Lin, How-Shing Wang, Hao-Yung Weng, Kuang-Chen Peng, Zih-Ching Chen, Hung-yi Lee:
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques. CoRR abs/2401.02122 (2024) - [i257]Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-yi Lee, Ariya Rastrow, Andreas Stolcke:
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR abs/2401.02921 (2024) - [i256]Chen-An Li, Hung-Yi Lee:
Examining Forgetting in Continual Pre-training of Aligned Large Language Models. CoRR abs/2401.03129 (2024) - [i255]David Cheng-Han Chiang, Hung-Yi Lee:
Over-Reasoning and Redundant Calculation of Large Language Models. CoRR abs/2401.11467 (2024) - [i254]Chyi-Jiunn Lin, Guan-Ting Lin, Yung-Sung Chuang, Wei-Lun Wu, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Lin-Shan Lee:
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering. CoRR abs/2401.13463 (2024) - [i253]Wei-Ping Huang, Sung-Feng Huang, Hung-yi Lee:
Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization. CoRR abs/2402.01692 (2024) - [i252]Liang-Hsuan Tseng, En-Pei Hu, David Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-Shan Lee, Shao-Hua Sun:
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. CoRR abs/2402.03988 (2024) - [i251]David Cheng-Han Chiang, Hung-yi Lee:
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations. CoRR abs/2402.05629 (2024) - [i250]Hung-Chieh Fang, Nai-Xuan Ye, Yi-Jen Shih, Puyuan Peng, Hsuan-Fu Wang, Layne Berry, Hung-yi Lee, David Harwath:
Integrating Self-supervised Speech Model with Pseudo Word-level Targets from Visually-grounded Speech Model. CoRR abs/2402.05819 (2024) - [i249]Hsuan-Fu Wang, Yi-Jen Shih, Heng-Jui Chang, Layne Berry, Puyuan Peng, Hung-yi Lee, Hsin-Min Wang, David Harwath:
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data. CoRR abs/2402.06959 (2024) - [i248]Guan-Ting Lin, David Cheng-Han Chiang, Hung-yi Lee:
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations. CoRR abs/2402.12786 (2024) - [i247]Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-Yi Lee:
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition. CoRR abs/2402.13018 (2024) - [i246]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. CoRR abs/2402.13071 (2024) - [i245]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee:
Towards audio language modeling - an overview. CoRR abs/2402.13236 (2024) - [i244]Shu-Wen Yang, Heng-Jui Chang, Zili Huang, Andy T. Liu, Cheng-I Lai, Haibin Wu, Jiatong Shi, Xuankai Chang, Hsiang-Sheng Tsai, Wen-Chin Huang, Tzu-hsun Feng, Po-Han Chi, Yist Y. Lin, Yung-Sung Chuang, Tzu-Hsien Huang, Wei-Cheng Tseng, Kushal Lakhotia, Shang-Wen Li, Abdelrahman Mohamed, Shinji Watanabe, Hung-yi Lee:
A Large-Scale Evaluation of Speech Foundation Models. CoRR abs/2404.09385 (2024) - [i243]Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung-yi Lee, Shao-Hua Sun:
LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play. CoRR abs/2405.06373 (2024) - [i242]Kuang-Ming Chen, Hung-yi Lee:
InstructionCP: A fast approach to transfer Large Language Models into target language. CoRR abs/2405.20175 (2024) - [i241]Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR abs/2406.02925 (2024) - [i240]Fabian Ritter Gutierrez, Kuan-Po Huang, Jeremy H. M. Wong, Dianwen Ng, Hung-yi Lee, Nancy F. Chen, Eng Siong Chng:
Dataset-Distillation Generative Model for Speech Emotion Recognition. CoRR abs/2406.02963 (2024) - [i239]Xuanjun Chen, Jiawei Du, Haibin Wu, Jyh-Shing Roger Jang, Hung-yi Lee:
Neural Codec-based Adversarial Sample Detection for Speaker Verification. CoRR abs/2406.04582 (2024) - [i238]Yi-Cheng Lin, Tzu-Quan Lin, Hsi-Che Lin, Andy T. Liu, Hung-yi Lee:
On the social bias of speech self-supervised models. CoRR abs/2406.04997 (2024) - [i237]Tzu-Quan Lin, Hung-yi Lee, Hao Tang:
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models. CoRR abs/2406.05464 (2024) - [i236]Chih-Kai Yang, Kuan-Po Huang, Hung-yi Lee:
Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper. CoRR abs/2406.05806 (2024) - [i235]Haibin Wu, Yuan Tseng, Hung-yi Lee:
CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems. CoRR abs/2406.07237 (2024) - [i234]Chun-Yi Kuan, Wei-Ping Huang, Hung-yi Lee:
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models. CoRR abs/2406.08402 (2024) - [i233]Jiatong Shi, Shih-Heng Wang, William Chen, Martijn Bartelds, Vanya Bannihatti Kumar, Jinchuan Tian, Xuankai Chang, Dan Jurafsky, Karen Livescu, Hung-yi Lee, Shinji Watanabe:
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. CoRR abs/2406.08641 (2024) - [i232]Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee:
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. CoRR abs/2406.08747 (2024) - [i231]Siddhant Arora, Ankita Pasad, Chung-Ming Chien, Jionghao Han, Roshan S. Sharma, Jee-weon Jung, Hira Dhamyal, William Chen, Suwon Shon, Hung-yi Lee, Karen Livescu, Shinji Watanabe:
On the Evaluation of Speech Foundation Models for Spoken Language Understanding. CoRR abs/2406.10083 (2024) - [i230]Hung-Ting Su, Chun-Tong Chao, Ya-Ching Hsu, Xudong Lin, Yulei Niu, Hung-Yi Lee, Winston H. Hsu:
Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies. CoRR abs/2406.10923 (2024) - [i229]Guan-Ting Lin, Wei-Ping Huang, Hung-yi Lee:
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech. CoRR abs/2406.11064 (2024) - [i228]Guan-Ting Lin, Hung-yi Lee:
Can LLMs Understand the Implication of Emphasized Sentences in Dialogue? CoRR abs/2406.11065 (2024) - [i227]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR abs/2406.18871 (2024) - [i226]Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen:
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging. CoRR abs/2407.01470 (2024) - [i225]Yu-Kuan Fu, Cheng-Kuang Lee, Hsiu-Hsuan Wang, Hung-yi Lee:
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model. CoRR abs/2407.01911 (2024) - [i224]Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee:
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course. CoRR abs/2407.05216 (2024) - [i223]Yi-Cheng Lin, Tzu-Quan Lin, Chih-Kai Yang, Ke-Han Lu, Wei-Chih Chen, Chun-Yi Kuan, Hung-yi Lee:
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models. CoRR abs/2407.06957 (2024) - [i222]Chun-Yi Kuan, Chih-Kai Yang, Wei-Ping Huang, Ke-Han Lu, Hung-yi Lee:
Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation. CoRR abs/2407.09886 (2024) - [i221]Liang-Hsuan Tseng, Zih-Ching Chen, Wei-Shun Chang, Cheng-Kuang Lee, Tsung-Ren Huang, Hung-yi Lee:
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data. CoRR abs/2407.10603 (2024) - [i220]Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. CoRR abs/2407.14767 (2024) - [i219]Wenze Ren, Yi-Cheng Lin, Huang-Cheng Chou, Haibin Wu, Yi-Chiao Wu, Chi-Chun Lee, Hung-yi Lee, Yu Tsao:
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations. CoRR abs/2407.15458 (2024) - [i218]Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models. CoRR abs/2408.02442 (2024) - [i217]Shachi H. Kumar, Saurav Sahay, Sahisnu Mazumder, Eda Okur, Ramesh Manuvinakurike, Nicole Beckage, Hsuan Su, Hung-yi Lee, Lama Nachman:
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. CoRR abs/2408.03907 (2024) - 2023
- [j24]Po-Chun Hsu, Da-Rong Liu, Andy T. Liu, Hung-yi Lee:
Parallel Synthesis for Autoregressive Speech Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3095-3111 (2023) - [j23]Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Ray-I Chang, Hung-Yi Lee:
MetaEx-GAN: Meta Exploration to Improve Natural Language Generation via Generative Adversarial Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3968-3980 (2023) - [c195]David Cheng-Han Chiang, Hung-yi Lee:
Are Synonym Substitution Attacks Really Synonym Substitution Attacks? ACL (Findings) 2023: 1853-1878 - [c194]Suwon Shon, Siddhant Arora, Chyi-Jiunn Lin, Ankita Pasad, Felix Wu, Roshan S. Sharma, Wei-Lun Wu, Hung-yi Lee, Karen Livescu, Shinji Watanabe:
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks. ACL (1) 2023: 8906-8937 - [c193]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. ACL (1) 2023: 11413-11429 - [c192]David Cheng-Han Chiang, Hung-yi Lee:
Can Large Language Models Be an Alternative to Human Evaluations? ACL (1) 2023: 15607-15631 - [c191]Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-Yu Huang, Shang-Wen Li, Hung-Yi Lee:
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. ASRU 2023: 1-8 - [c190]Wei-Ping Huang, Sung-Feng Huang, Hung-Yi Lee:
Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization. ASRU 2023: 1-8 - [c189]Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-Yi Lee:
Towards General-Purpose Text-Instruction-Guided Voice Conversion. ASRU 2023: 1-8 - [c188]Tzu-Quan Lin, Hung-Yi Lee, Hao Tang:
MelHuBERT: A Simplified Hubert on Mel Spectrograms. ASRU 2023: 1-8 - [c187]Jiatong Shi, William Chen, Dan Berrebbi, Hsiu-Hsuan Wang, Wei-Ping Huang, En-Pei Hu, Ho-Lam Chuang, Xuankai Chang, Yuxun Tang, Shang-Wen Li, Abdelrahman Mohamed, Hung-Yi Lee, Shinji Watanabe:
Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. ASRU 2023: 1-8 - [c186]Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-Yi Lee:
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models. ASRU 2023: 1-8 - [c185]Jun-You Wang, Hung-Yi Lee, Jyh-Shing Roger Jang, Li Su:
Zero-Shot Singing Voice Synthesis from Musical Score. ASRU 2023: 1-8 - [c184]Haibin Wu, Jiawen Kang, Lingwei Meng, Helen Meng, Hung-yi Lee:
The Defender's Perspective on Automatic Speaker Verification: An Overview. DADA@IJCAI 2023: 6-11 - [c183]David Cheng-Han Chiang, Hung-yi Lee:
A Closer Look into Using Large Language Models for Automatic Evaluation. EMNLP (Findings) 2023: 8928-8942 - [c182]Layne Berry, Yi-Jen Shih, Hsuan-Fu Wang, Heng-Jui Chang, Hung-Yi Lee, David Harwath:
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval. ICASSP 2023: 1-5 - [c181]Hsuan-Jui Chen, Yen Meng, Hung-yi Lee:
Once-for-All Sequence Compression for Self-Supervised Speech Models. ICASSP 2023: 1-5 - [c180]Zih-Ching Chen, Yu-Shun Sung, Hung-Yi Lee:
Chapter: Exploiting Convolutional Neural Network Adapters for Self-Supervised Speech Models. ICASSP Workshops 2023: 1-5 - [c179]Dongji Gao, Jiatong Shi, Shun-Po Chuang, Leibny Paola García, Hung-Yi Lee, Shinji Watanabe, Sanjeev Khudanpur:
Euro: Espnet Unsupervised ASR Open-Source Toolkit. ICASSP 2023: 1-5 - [c178]Chan-Jan Hsu, Ho-Lam Chung, Hung-Yi Lee, Yu Tsao:
T5lephone: Bridging Speech and Text Self-Supervised Models for Spoken Language Understanding Via Phoneme Level T5. ICASSP 2023: 1-5 - [c177]Sung-Feng Huang, Chia-Ping Chen, Zhi-Sheng Chen, Yu-Pao Tsai, Hung-Yi Lee:
Personalized Lightweight Text-to-Speech: Voice Cloning with Adaptive Structured Pruning. ICASSP 2023: 1-5 - [c176]Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee:
Ensemble Knowledge Distillation of Self-Supervised Speech Models. ICASSP 2023: 1-5 - [c175]Jiatong Shi, Chan-Jan Hsu, Ho-Lam Chung, Dongji Gao, Paola García, Shinji Watanabe, Ann Lee, Hung-Yi Lee:
Bridging Speech and Textual Pre-Trained Models With Unsupervised ASR. ICASSP 2023: 1-5 - [c174]Yuan Tseng, Cheng-I Jeff Lai, Hung-Yi Lee:
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences. ICASSP 2023: 1-5 - [c173]Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun:
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. ICML 2023: 21672-21697 - [c172]Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath:
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023: 456-460 - [c171]Jiatong Shi, Dan Berrebbi, William Chen, En-Pei Hu, Wei-Ping Huang, Ho-Lam Chung, Xuankai Chang, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Shinji Watanabe:
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. INTERSPEECH 2023: 884-888 - [c170]Guan-Wei Wu, Guan-Ting Lin, Shang-Wen Li, Hung-yi Lee:
Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target. INTERSPEECH 2023: 1503-1507 - [c169]Cheng-Han Chiang, Wei-Ping Huang, Hung-yi Lee:
Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously. INTERSPEECH 2023: 5551-5555 - [c168]David Cheng-Han Chiang, Hung-yi Lee, Yung-Sung Chuang, James R. Glass:
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS. RepL4NLP@ACL 2023: 289-302 - [e2]C. Maria Keet, Hung-Yi Lee, Sina Zarrieß:
Proceedings of the 16th International Natural Language Generation Conference, INLG 2023, Prague, Czechia, September 11 - 15, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-001-1 [contents] - [i216]Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun:
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. CoRR abs/2301.12950 (2023) - [i215]Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee:
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR abs/2302.05888 (2023) - [i214]Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-yi Lee:
Ensemble knowledge distillation of self-supervised speech models. CoRR abs/2302.12757 (2023) - [i213]Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee:
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks. CoRR abs/2303.00733 (2023) - [i212]Yuan Tseng, Cheng-I Lai, Hung-yi Lee:
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences. CoRR abs/2303.08809 (2023) - [i211]Sung-Feng Huang, Chia-Ping Chen, Zhi-Sheng Chen, Yu-Pao Tsai, Hung-yi Lee:
Personalized Lightweight Text-to-Speech: Voice Cloning with Adaptive Structured Pruning. CoRR abs/2303.11816 (2023) - [i210]David Cheng-Han Chiang, Hung-yi Lee:
Can Large Language Models Be an Alternative to Human Evaluations? CoRR abs/2305.01937 (2023) - [i209]Yu-Kuan Fu, Liang-Hsuan Tseng, Jiatong Shi, Chen-An Li, Tsu-Yuan Hsu, Shinji Watanabe, Hung-Yi Lee:
Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation. CoRR abs/2305.07455 (2023) - [i208]Jiatong Shi, Dan Berrebbi, William Chen, Ho-Lam Chung, En-Pei Hu, Wei-Ping Huang, Xuankai Chang, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Shinji Watanabe:
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. CoRR abs/2305.10615 (2023) - [i207]Haibin Wu, Jiawen Kang, Lingwei Meng, Helen Meng, Hung-yi Lee:
The defender's perspective on automatic speaker verification: An overview. CoRR abs/2305.12804 (2023) - [i206]Guan-Wei Wu, Guan-Ting Lin, Shang-Wen Li, Hung-yi Lee:
Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target. CoRR abs/2305.18096 (2023) - [i205]Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee:
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models. CoRR abs/2305.19011 (2023) - [i204]Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath:
How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR abs/2306.01015 (2023) - [i203]Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee:
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts. CoRR abs/2306.02207 (2023) - [i202]David Cheng-Han Chiang, Yung-Sung Chuang, James R. Glass, Hung-yi Lee:
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS. CoRR abs/2306.05083 (2023) - [i201]Shen-sian Syu, Juncheng Xie, Hung-yi Lee:
Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC. CoRR abs/2306.06345 (2023) - [i200]