Author

Hung-yi Lee

Observed names: Lee, Hung-Yi, Lee, Hung-yi

Institutions: National Taiwan University, Artificial Intelligence in Medicine (Canada)

Observed institutions: National Taiwan University, Artificial Intelligence in Medicine (Canada)

OpenAlex ID: A5140293944

TASTE2: Text-Aligned Speech Modeling and Deployment toward Full-Duplex Voice Interaction

2026 · Chen, Yi-Chang, Chen, Chun Wei, et al. · arXiv (Cornell University)

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Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis

2026 · Chung, Ho-Lam, Huang, Kuan-Po, et al. · arXiv (Cornell University)

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BlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching Speech

2026 · Chung, Ho Lam, Zheng, Bo-Xuan, et al. · arXiv (Cornell University)

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Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models

2026 · Chung, Ho-Lam, Lu, Ke-Han, et al. · arXiv (Cornell University)

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Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR

2026 · Chung, Ho Lam, Chen, Yiming, et al. · arXiv (Cornell University)

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Context-Aware ASR for Mandarin Technical Lectures

2026 · Chung, Ho-Lam, Chen, Yiming, et al. · arXiv (Cornell University)

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REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing

2026 · Chou, Cheng-Kang, Chuang, Ming-To, et al. · arXiv (Cornell University)

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Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

2026 · Kuan, Chun-Yi, Huang, Wei-Ping, et al. · arXiv (Cornell University)

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Membership Inference Attacks against Large Audio Language Models

2026 · Dong, Jia-Kai, Lin, Yu-Xiang, et al. · arXiv (Cornell University)

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How Contrastive Decoding Enhances Large Audio Language Models

2026 · Lin, Tzu-Quan, Huang, Wei-Ping, et al. · arXiv (Cornell University)

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SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models

2026 · Huang, Hsiao-Ying, Chiang, Cheng-Han, et al. · arXiv (Cornell University)

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MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models

2026 · Yang, Chih-Kai, Tsai, Yun-Shao, et al. · arXiv (Cornell University)

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AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering

2026 · Kuan, Chun-Yi, Lee, Hung-yi · arXiv (Cornell University)

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Tri-PvP: Exposing Modality Bias in Omni-Modal Large Language Models through Perceptual-Propositional Evidence Conflicts

2026 · Yen-Ting Piao, Shu-Yun Chen, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Works count: 14

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