摘要
语音识别片上系统可以实现简单的人机交互和语音控制,在家电、玩具及各种人机交互系统中有着广泛的应用前景。本文结合汉语语音特点,在TMS320VC5507芯片上实现了高性能特定人与非特定人中小词汇量孤立词识别系统。采用基于循环缓冲区的端点检测算法,双缓冲区的传输方式用于语音录制和回放,分别采用降低特征维数的DTW算法和基于连续隐含马尔可夫模型(CDHMM)的多级搜索算法作为核心识别算法,并给出实验结果。
Speech recognition systems on chip (SoC) can realize simple man-machine communication and speech control, and have a bright application prospect in household appliances and various man-machine communication systems. Combined with characteristics of Chinese speech language, this paper presents a speaker dependent and independent medium and small vocabulary isolated words recognition system based on TMS320VC5507. Voice Activity Detection (VAD) algorithm based on circular buffer is implemented and dual-buffer ...
出处
《微计算机信息》
北大核心
2008年第2期168-170,共3页
Control & Automation
基金
国家自然科学基金资助项目(60572083)