A Source-Filter Model-Based Unvoiced Speech Detector for Speech Coding

摘要：

　　A novel and easy to realize approach for Voice Activity Detection (VAD) is proposed based on the source-filter speech model in the application of Linear-Prediction-structure speech coding.Generalized Likelihood Ratio Test (GLRT) is adopted to formulate the voice activity detector which contains an unvoiced speech detector and a voiced speech detector respectively.By exploiting the linear predictive analysis coefficients and the pitch information produced in the speech coder,the two separate detectors work effectively in uncorrelated noise without increasing computational complexity significantly.Experimental results show that the unvoiced speech detector outperforms conventional algorithm used in speech coding under various noisy conditions.

关键词： Voice Activity Detection Generalized Likelihood Ratio Test Speech Coding Linear Prediction Unvoiced Speech Detector

作者: Qian wang Xin Du Weikang Gu

作者单位: Dept.Information Science and Electronic Engineering of Zhejiang University Hangzhou,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1435-1438

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）