English(EN) Quantifying Consonant Contributions to Word Intelligibility via Acoustic Masking

新方法量化辅音对词语可懂度的贡献

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-14 04:00

研究人员开发了一种新颖的方法，利用声学掩蔽来量化辅音对词语可懂度的贡献。该技术涉及掩蔽单词中的单个辅音，并评估自动语音识别（ASR）模型是否仍能正确识别它。该研究将此方法应用于英语、西班牙语、德语和捷克语，使用了MMS、Whisper和Qwen3 ASR等ASR架构，并发现辅音的排名取决于语言。 AI

影响这项研究可能通过优先考虑基于特定语言辅音可懂度的干预措施，从而实现更有效的言语治疗。

排序理由该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Eunjung Yeo, Kwanghee Choi, Krupaben Kothadia, Visar Berisha, Julie M. Liss, David R. Mortensen, David Harwath · 2026-09-14 04:00

通过声学掩蔽量化辅音对词语可懂度的贡献

arXiv:2609.12122v1 Announce Type: new Abstract: Consonants contribute unequally to whether a word is understood. Given the limited time available for therapy, ranking consonants by contribution to intelligibility helps prioritize intervention targets in motor speech disorders. Ho…

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通过声学掩蔽量化辅音对词语可懂度的贡献

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