加州大学洛杉矶分校的研究团队在人工智能的助力下，开发出了一种新型柔性贴片，这一突破性技术有望帮助有声带障碍的患者重新获得清晰交流的能力。该团队由生物工程系助理教授陈俊领导，他们利用磁弹性效应和机器学习算法，创造了一种能够将喉部肌肉运动转化为语音信号的助听装置。这种装置首先收集患者喉部肌肉运动的数据，然后通过机器学习对这些信号进行分析和分类，最后识别语义信息并选择相应的语音信号进行输出。这项研究成果已经发表在《自然》杂志的子刊上，为患有嗓音障碍的人群带来了新的希望。
英文标题：New AI-Assisted Speech System Enables Communication Without Vocal Cords
英文关键词：AI-assisted speech, soft patch, voice disorders
英文新闻内容：
Researchers at the University of California, Los Angeles, have developed a novel soft patch technology that, with the aid of artificial intelligence, offers new hope to those with vocal cord disorders. Led by Assistant Professor Chen Jun in the Department of Bioengineering, the team has created a device that transforms throat muscle movements into speech signals using magnetostrictive properties and machine learning algorithms. The device first collects data on the patient’s throat muscle movements, then analyzes and classifies these signals, and finally identifies semantic information and selects the appropriate speech signals for output. This groundbreaking work has been published in a sub-journal of Nature, marking a significant step forward in the field of voice rehabilitation.
【来源】https://mp.weixin.qq.com/s/xe5DXr3vTA69qyTTG04fQQ
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