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Cheng Gong

ACL 2026×2多模态强化学习与后训练社会与人本可解释性理论与学习动力学
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #15/29ACL 2026Poster· Natural Language Processing

Evaluating the Expressive Appropriateness of Speech in Rich Contexts

Tianrui Wang · Ziyang Ma · Yizhou Peng · Haoyu Wang · Zhikang Niu · Zikang Huang · Yihao Wu · Yi-Wen Chao · Yu Jiang · Yuheng Lu · Guanrou Yang · Xuanchen Li · Hexin Liu · Chunyu Qiang · Cheng Gong · Yifan Yang · Tianchi Liu · Junyu Wang · Nana Hou · Meng Ge · Fuming You · Yang Wei · Zhongqian Sun · Hu Haifeng · Xiaobao Wang · Eng Siong Chng · Xie Chen · Longbiao Wang · Jianwu Dang

摘要

Evaluating expressive speech remains challenging, as existing methods mainly assess emotional intensity and overlook whether a speech sample is expressively appropriate for its contextual setting. This limitation hinders reliable evaluation of speech systems used in narrative-driven and interacti...

多模态强化学习与后训练社会与人本OpenReview 项目页
作者位次 #9/13ACL 2026Poster· Natural Language Processing

U ni S onate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions

Chunyu Qiang · Xiaopeng Wang · Kang Yin · Yuzhe Liang · Yuxin Guo · Teng Ma · Ziyu Zhang · Tianrui Wang · Cheng Gong · Yushen Chen · Ruibo Fu · Longbiao Wang · Jianwu Dang

摘要

Generative audio modeling has largely been fragmented into specialized tasks, text-to-speech (TTS), text-to-music (TTM), and text-to-audio (TTA), each operating under heterogeneous control paradigms. Unifying these modalities remains a fundamental challenge due to the intrinsic dissonance between...

多模态可解释性理论与学习动力学OpenReview 项目页

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