你听起来有点紧张：利用元音时长特性的面向二语学习者的清晰化TTS
You Sound a Little Tense: L2 Tailored Clear TTS Using Durational Vowel Properties
AI总结：
本研究提出首个面向二语学习者的定制化TTS系统，通过调整美式英语紧/松元音时长为Matcha-TTS增设清晰模式，实验证实该模式可降低二语听众转录错误率，且发现实际可懂度与感知可懂度不相关，Whisper-ASR不足以评估TTS对二语人群的可懂度。
摘要：
我们提出了首个专为第二语言（L2）使用者定制的文本转语音（TTS）系统。我们利用美式英语紧元音（更长）与松元音（更短）之间的时长差异，为Matcha-TTS打造了一种“清晰模式”。我们的感知研究显示，母语为法语、英语为二语的听众使用该清晰模式时，转录错误更少（至少降低9.15%），且认为这种模式比整体放慢语速的语音更具鼓励性、更显尊重。值得注意的是，听众并未意识到这些效果：尽管清晰模式下词错误率有所下降，听众仍认为放慢所有目标词的语速最易理解，这表明实际可懂度与感知可懂度并不相关。此外，我们发现Whisper-ASR并未采用与二语使用者相同的线索来区分难辨元音，因此不足以评估TTS系统对这类人群的可懂度。
英文摘要：
We present the first text-to-speech (TTS) system tailored to second language (L2) speakers. We use duration differences between American English tense (longer) and lax (shorter) vowels to create a "clarity mode" for Matcha-TTS. Our perception studies showed that French-L1, English-L2 listeners had fewer (at least 9.15%) transcription errors when using our clarity mode, and found it more encouraging and respectful than overall slowed down speech. Remarkably, listeners were not aware of these effects: despite the decreased word error rate in clarity mode, listeners still believed that slowing all target words was the most intelligible, suggesting that actual intelligibility does not correlate with perceived intelligibility. Additionally, we found that Whisper-ASR did not use the same cues as L2 speakers to differentiate difficult vowels and is not sufficient to assess the intelligibility of TTS systems for these individuals.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
