Continuous-speech phone recognition from ultrasound and optical images of the tongue and lips
Continuous-speech phone recognition from ultrasound and optical images of the tongue and lips
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根据舌头和嘴唇的超声波和光学图像进行连续语音电话识别
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
M. Stone
中科院分区：
文献类型：
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作者：
Thomas Hueber;Gérard Chollet;B. Denby;G. Dreyfus;M. Stone
本文描述了一种用于“无声语音界面”应用程序的纯视频语音识别系统，使用发音器官的超声和光学图像。一个小时的视听语音语料库的语音标记使用自动语音对齐程序和强大的视觉特征提取技术。基于HMM的随机模型分别估计的视觉和听觉语料库。视觉语音识别系统的性能相比，传统的基于声学的识别器。
The article describes a video-only speech recognition system for a “silent speech interface” application, using ultrasound and optical images of the voice organ. A one-hour audiovisual speech corpus was phonetically labeled using an automatic speech alignment procedure and robust visual feature extraction techniques. HMM-based stochastic models were estimated separately on the visual and acoustic corpus. The performance of the visual speech recognition system is compared to a traditional acoustic-based recognizer.