ICCHP Keynote: Recognizing Silent and Weak Speech Based on Electromyography
ICCHP Keynote: Recognizing Silent and Weak Speech Based on Electromyography
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ICCHP 主题演讲：基于肌电图识别无声和微弱言语
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Tanja Schultz
中科院分区：
文献类型：
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作者：
Tanja Schultz
在过去的十年中，自动语音处理系统（包括语音识别、口语翻译和语音合成）的性能得到了显着提高。这导致语音和语言技术在各种应用中得到越来越广泛的使用。然而，基于传统声学语音信号的语音驱动接口仍然受到一些限制。
In the past decade, the performance of automatic speech processing systems, including speech recognition, spoken language translation, and speech synthesis, has improved dramatically. This has resulted in an increasingly widespread use of speech and language technologies in a large variety of applications. However, speech-driven interfaces based on conventional acoustic speech signals still suffer from several limitations.
DOI：
10.1109/86.847815
发表时间：
2000-06-01
期刊：
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING
影响因子：
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作者：
Kennedy, PR;Bakay, RAE;Goldwaithe, J
通讯作者：
Goldwaithe, J