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《Journal of Jiamusi University(Natural Science Edition)》 2019-06
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Voice Processing of NAO Robot Based on Cloud Platform

CHEN Jia-xin;WANG Da-dong;SUN Ming-chen;WANG Xiao-yu;School of Computer Science, Jilin Normal University;  
Focused on the problems of low recognition accuracy of NAO robot, an approach to speech recognition based on calling cloud platform service is proposed. Through the modulation domain spectrum subtraction method of phase compensation, the noise reduction of the voice is carried out to improve the speech signal-to-noise ratio. The endpoint detection of the sound signal is carried out based on the two-threshold decision method, the noise frames are deleted, the speech frames are retained, and finally WAV files are generated and transmitted for recognition, which improves the practicability and functional diversity of NAO robot. Experimental results show that the proposed algorithm achieves a good recognition effect at low signal-noise ratio and has strong robustness.
【Fund】: 吉林省教育厅“十三五”科学技术项目(JJKH20180763K)
【CateGory Index】: TN912.3;TP242
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