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Yanmin Qian

ACL 2026×2AAAI 2026NeurIPS 2026多模态数据与预训练多语言与语言学效率与系统理论与学习动力学
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0 一作 · 4 篇 · ACL 2026 / AAAI 2026 / NeurIPS 2026

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2026 顶会论文

4
作者位次 #3/3ACL 2026Poster· Natural Language Processing

A Data-Centric Approach to Generalizable Speech Deepfake Detection

Wen Huang · Yuchen Mao · Yanmin Qian

摘要

Achieving robust generalization in speech deepfake detection (SDD) remains a primary challenge, as models often fail to detect unseen forgery methods. While research has focused on model-centric and algorithm-centric solutions, the impact of data composition is often underexplored. This paper pro...

效率与系统数据与预训练多模态OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression

Haiyang Sun · Chenyang Le · Wei Wang · Leying Zhang · Chuang Li · Bing Han · Chenda Li · Mengxiao Bi · Yanmin Qian

摘要

Emotional Text-to-Speech aims to synthesize speech with human-like naturalness and expressiveness. However, existing systems rely on sentence-level labels, which fails to capture the subtle nuances of human affect. Based on cognitive appraisal theories, we argue that emotional expression is not g...

多模态数据与预训练理论与学习动力学OpenReview 项目页

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