摘要
针对智能机器人系统对语音交互功能的实际需求,在DM-B200开放式机器人平台上,设计并实现了基于语音信息的说话人身份识别功能和语音指令识别功能.为了准确识别特定说话人的身份,采用了矢量量化的识别方法,而为了提高机器人语音控制的实时性,语音指令识别采用了动态时间规整的方法.应用结果表明,所设计的语音识别系统达到96%以上的综合识别率,具有实际应用价值.
For satisfying the voice-based communication requirements of intelligent robotics, based on the DM-B200 robot, the speaker identification system and command recognition system are designed. In order to improve the correct recognition rate of speaker identification, the vector quantization method is used. And the dynamic time warping algorithm is used to speed the command recognition process. The application results showed the designed systems obtained more than 96% correct recognition rate and are easy to be extended to the real production.
出处
《计算机系统应用》
2013年第4期186-189,共4页
Computer Systems & Applications
基金
国家自然科学基金青年基金(61103123)
关键词
语音指令识别
矢量量化算法
说话人身份识别
动态时间规整
voice command recognition
vector quantization algorithm
speaker identification
dynamic time warping
