Implementation of speaker-depended speech recognition algorithm in VC++
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摘要: 针对现有的非特定人语音识别系统存在词汇数据库庞大、训练过程复杂的问题，采用VC++实现了一种特定人语音识别算法。该算法采用先预加重后端点检测的方法来消除低频噪声的影响；选择短时能量和短时过零率2个指标作为语音信号端点检测的依据；加入了可容忍静音时间的判断来保证检测到的语音数据的完整性；采用改进的动态时间规整算法进行模式匹配，在不影响计算结果的前提下减少了运算量。测试结果表明，该算法能够对短词和短句进行实时、准确识别，并具有较快的识别速度。Abstract: In view of problems of huge words database and complex training process existed in current speaker-independent speech recognition system, a speaker-depended speech recognition algorithm was implemented by using VC++. The algorithm uses method of pre-emphasis first then endpoint detection to eliminate influence of low-frequency noise; selects two indexes of short-time energy and short-time zero-crossing rate as criterion of endpoint detection for speech signal; adds judgment of tolerable mute time to ensure integrity of speech data; uses improved dynamic time warping algorithm to make pattern matching which reduces computation under premise of not influencing calculating results. The test result shows that the algorithm can recognize short words and short sentences real-timely and accurately with faster recognition speed.
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