Integrating lip-reading and thai speech to control electronic devices in a vehicle

Isamail Masamae, P. Chaikan
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Abstract

This paper presents the use of lip-reading and Thai speech to control electronic devices in a vehicle. The Viola-Jones algorithm detects the face of the driver and the constrained local model detects their mouth area before three lips features are extracted. Hidden Markov models are utilized to recognize speech and lip movement, with the lip movement recognizer offering better accuracy than the speech recognizer in a noisy environment. Three fusion methods are utilized to combine lip-movement and speech. We propose the use of vehicle speed for selecting the appropriate recognizer for different speech signal-to-noise ratios.
整合唇读和泰语来控制车辆中的电子设备
本文介绍了使用唇读和泰语来控制车辆中的电子设备。Viola-Jones算法检测驾驶员的面部,约束局部模型检测驾驶员的嘴巴区域,然后提取三个嘴唇特征。利用隐马尔可夫模型对语音和唇形运动进行识别,唇形运动识别器在噪声环境下比语音识别器具有更好的准确率。利用三种融合方法将唇动与言语结合起来。我们建议使用车速来选择适合不同语音信噪比的识别器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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