发表机构
University of Sheffield; WS Audiology; ORCA Labs, WS Audiology; Meta Reality Labs; South Westphalia University of Applied Sciences（谢菲尔德大学; WS Audiology; WS Audiology ORCA实验室; Meta现实实验室; 南威斯特法伦应用科学大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文介绍CHiME-9 ECHI挑战，针对嘈杂环境中四方对话的听力障碍问题，利用多通道录音提取目标语音，并通过主观测试评估，顶尖系统在可懂度和质量上显著优于基线。
AI 中文摘要
本文介绍了CHiME-9挑战中“增强对话以应对听力障碍”（ECHI）任务及其结果。该挑战考虑了在嘈杂、自助餐厅式环境中，存在干扰语音源和音效的四方对话场景。参与者获得由Meta Aria眼镜和助听器麦克风录制的音频，以及对话参与者的干净语音样本。任务是从嘈杂的多通道录音中提取对话伙伴的语音，目标是提高语音的可懂度和质量，并使用客观指标和主观听力测试进行评估。本文回顾了七个团队的提交结果，并根据主观可懂度和质量的组合进行排名。结果表明，虽然客观指标未能反映听者的表现，但顶尖系统在可懂度和质量评分方面均比挑战基线取得了显著改进。
英文摘要
This work presents the task and results of the CHiME-9 challenge for Enhancing Conversations to address Hearing Impairment. The challenge considers the scenario of four-party conversations in a noisy, cafeteria-style environment with interfering speech sources and sound effects. Participants are provided with audio recordings made with Meta Aria glasses and hearing aid microphones, and clean speech samples of the conversation participants. The task is to extract the speech of the conversation partners from the noisy multi-channel recordings with the goal of improving the intelligibility and quality of the speech, evaluated using objective metrics and subjective listening tests. This paper reviews submissions from seven teams and ranks them on a combination of subjective intelligibility and quality. Results show that while the objective metrics do not reflect listener performance, the top systems were able to make substantial improvements over the challenge baseline in both intelligibility and quality ratings.
CommentsAccepted to the International Workshop on Acoustic Signal Enhancement (IWAENC), Cremona, Italy, September 2026
