恐音症触发声音抑制
Trigger Sound Suppression for Misophonia
- University of Washington（华盛顿大学）
- Duke Center for Misophonia and Emotion Regulation（杜克大学恐音症与情绪调节中心）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究提出神经触发声音抑制方法，利用流式双路径网络选择性移除恐音症患者的触发声音，并通过临床聆听研究验证其能显著降低痛苦和唤醒度、改善效价。
AI中文摘要：
恐音症是一种对特定声音耐受性降低的疾病，影响5-20%的人群，然而患者缺乏良好选择：治疗仅对少数人有效，耳塞或降噪则使一切声音静音。我们提出了一项针对恐音症的神经触发声音抑制研究，选择性移除触发声音。我们构建了一个涵盖10种最常见触发类别的数据集。利用在6毫秒音频块上运行的流式双路径网络，我们探索了单热和多热条件模型，从声学场景中抑制1-3个触发声音。我们通过一项包含30名临床显著恐音症障碍成年人的聆听研究验证了模型输出。参与者报告称，对于被抑制的音频，痛苦和唤醒度显著降低，效价得到改善。
英文摘要：
Misophonia, a disorder of decreased tolerance to specific sounds, affects 5-20% of the population, yet sufferers have no good options: therapy helps a minority, and earplugs or noise cancellation silence everything. We present a study for neural trigger sound suppression for misophonia, selectively removing trigger sounds. We curate a dataset covering the 10 most common trigger classes. Using streaming dual-path networks operating on 6 ms audio chunks, we explore both one-hot and multi-hot-conditioned models that suppress 1-3 triggers from the acoustic scene. We validate our model outputs in a listening study with 30 adults with clinically elevated misophonia impairment. Participants reported significantly lower distress and arousal, and improved valence, for suppressed audio.
