基于触觉振动反馈的定制人工耳的初步研究

Yicheng Yang, Weibang Bai, Benny P. L. Lo
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引用次数: 0

摘要

助听器已经存在了几十年,而大多数助听器都专注于放大声音和提高信噪比。提出了一种基于振动触觉反馈的人工耳。通过语音识别算法和模式编码方法将语音信号转换为放置在受试者耳周围的振动触觉装置。在由6个电机组成的原型机上进行的初步实验表明,对字母和日常句子的识别准确率达到90%。解释振动触觉信号的学习时间可能少于实时对话的四倍,证明了该设备在现实生活中应用的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Customized Artificial Ear Based on Vibrotactile Feedback: A Pilot Study
Hearing aid devices have been around for decades, while most of them focus on sound amplification and SNR improvement. This paper proposes an artificial ear based on the vibrotactile feedback. The speech signal is converted into the vibrotactile devices placed around the subject’s ear through the speech recognition algorithm and pattern coding method. Preliminary experiments on the prototype consisting of six motors which has shown that the recognition accuracy of letters and daily sentences reached 90%. The learning time of interpreting the vibrotactile signals could be less than four times that in real-time conversation, proving the feasibility of the proposed device for real-life application.
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