标题： 清晰语音：语音中的痴呆混淆 显示英文标题

标题： ClaritySpeech: Dementia Obfuscation in Speech

摘要： 痴呆症是一种神经退行性疾病，会改变说话模式，造成交流障碍并引发隐私问题。 当前的语音技术，如自动语音识别（ASR），在处理痴呆症和非典型语音时存在困难，进一步挑战了可访问性。 本文提出了一种新的语音中痴呆症混淆框架ClaritySpeech，结合ASR、文本混淆和零样本文本到语音（TTS），在低数据环境中无需微调即可纠正受痴呆影响的语音并保持说话者身份。 结果表明，在各种对抗设置和模态（音频、文本、融合）下，ADReSS和ADReSSo的平均F1分数分别下降了16%和10%，同时保持50%的说话者相似度。 我们还发现，我们的系统提高了WER（ADReSS从0.73提高到0.08，ADReSSo从0.15提高到0.08），语音质量从1.65提高到约2.15，从而增强了隐私性和可访问性。 显示英文摘要

摘要： Dementia, a neurodegenerative disease, alters speech patterns, creating communication barriers and raising privacy concerns. Current speech technologies, such as automatic speech transcription (ASR), struggle with dementia and atypical speech, further challenging accessibility. This paper presents a novel dementia obfuscation in speech framework, ClaritySpeech, integrating ASR, text obfuscation, and zero-shot text-to-speech (TTS) to correct dementia-affected speech while preserving speaker identity in low-data environments without fine-tuning. Results show a 16% and 10% drop in mean F1 score across various adversarial settings and modalities (audio, text, fusion) for ADReSS and ADReSSo, respectively, maintaining 50% speaker similarity. We also find that our system improves WER (from 0.73 to 0.08 for ADReSS and 0.15 for ADReSSo) and speech quality from 1.65 to ~2.15, enhancing privacy and accessibility.