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使用磁植入物和传感器进行无声语音的孤立单词识别。

Isolated word recognition of silent speech using magnetic implants and sensors.

机构信息

Department of Engineering, University of Hull, Hull, HU6 7RX, UK.

出版信息

Med Eng Phys. 2010 Dec;32(10):1189-97. doi: 10.1016/j.medengphy.2010.08.011. Epub 2010 Sep 21.

Abstract

There are a number of situations where individuals wish to communicate verbally but are unable to use conventional means-so called 'silent speech'. These include speakers in noisy and covert situations as well as patients who have lost their voice as a result of a laryngectomy or similar procedure. This paper focuses on those who are unable to speak following a laryngectomy and assesses the possibility of speech recognition based on a magnetic implant/sensors system. Permanent magnets are placed on the tongue and lips and the changes in magnetic field resulting from movement during speech are monitored using a set of magnetic sensors. The sensor signals are compared to sets of pre-recorded templates using the dynamic time warping (DTW) method, and the best match is identified. Experimental trials are reported for subjects with intact larynx, typically using 500-1000 utterances used for speaker dependant training and testing. It is shown that recognition rates of over 90% are achievable for vocabularies of at least 57 isolated words: sufficient to drive command-and-control applications.

摘要

有许多情况下,个人希望进行口头交流,但无法使用传统手段,即所谓的“无声言语”。这些情况包括在嘈杂和隐蔽环境中的说话者,以及由于喉切除术或类似手术而失去声音的患者。本文专注于那些因喉切除术而无法说话的人,并评估基于磁植入物/传感器系统进行语音识别的可能性。在舌头上和嘴唇上放置永久磁铁,并使用一组磁传感器监测由于言语期间的运动而产生的磁场变化。使用动态时间规整 (DTW) 方法将传感器信号与预录制的模板集进行比较,并确定最佳匹配。报告了针对具有完整喉咙的受试者的实验性试验,通常使用 500-1000 个用于说话者相关训练和测试的话语。结果表明,对于至少 57 个孤立单词的词汇量,识别率可以达到 90%以上:足以驱动命令和控制应用程序。

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