Two-Microphone Noise Reduction for Cochlear Implants

用于人工耳蜗的两个麦克风降噪

• 批准号: 6832426
• 负责人: Patrick M. Zurek
• 金额: $ 14.18万
• 依托单位: SENSIMETRICS CORPORATION
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-06 至 2005-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6832426
• 关键词: auditory stimulus; behavioral /social science research tag; binaural hearing; clinical research; cochlear implants; computer program /software; computer system design /evaluation; human subject; noise; speech recognition

DESCRIPTION (provided by applicant): Although there has been dramatic progress in the performance of cochlear implants (CIs), users of these devices continue to be severely hampered by background noise. Recent work with rapidly adapting two microphone noise reduction algorithms has shown promising improvements in speech-to-noise ratio with multiple noise sources. However, these results, and the few measurements of intelligibility with normal hearing listeners, were obtained in unrealistically favorable (low-reverberation) conditions. The proposed work will develop and assess new two-microphone noise reduction algorithms for cochlear implants. Two such algorithms will be implemented, one of them derived from prior work on linear array processing and the other from models of binaural hearing. Each algorithm will be implemented in real time and function as a preprocessor to the listener's implant. CI users will serve as subjects in tests of speech reception in acoustic conditions that include multiple noise sources and realistic degrees of reverberation. Performance with the two-microphone preprocessors will be compared to that without preprocessing. If the results of Phase I show clear intelligibility benefits of either preprocessing algorithm in realistic acoustic environments, work in Phase II will involve field trials with CI users, algorithm optimization and resource minimization for productization, and exploration of the algorithm(s) for binaural delivery to hearing aid users. Success in this project will result in enhanced speech reception by cochlear implant users in everyday noisy backgrounds.

描述(由申请人提供)：尽管人工耳蜗(CI)的性能已经有了很大的进步，但这些设备的使用者仍然受到背景噪声的严重阻碍。最近关于快速适应两种麦克风降噪算法的工作表明，在多噪声源的情况下，语音噪声比有了很大的改善。然而，这些结果，以及正常听力听众的少数可理解性测量，是在不切实际的有利(低混响)条件下获得的。 这项拟议的工作将开发和评估新的双麦克风降噪算法，用于人工耳蜗植入物。将实施两种这样的算法，其中一种来自先前关于线性阵列处理的工作，另一种来自双耳听力模型。每个算法都将实时实施，并作为听者植入的预处理器发挥作用。CI用户将作为测试对象在包括多个噪声源和现实混响程度的声学条件下进行语音接收测试。使用双麦克风预处理器的性能将与不使用预处理器的性能进行比较。 如果第一阶段的结果显示，在真实的声学环境中，任何一种预处理算法都有明显的清晰度优势，第二阶段的工作将涉及CI用户的现场试验，用于产品化的算法优化和资源最小化，以及为助听器用户提供双耳传输的算法(S)的探索。该项目的成功将导致人工耳蜗用户在日常嘈杂背景下增强语音接收能力。