AN EFFECTIVE PITCH DETECTION METHOD FOR SPEECH SIGNALS WITH LOW SIGNAL-TO-NOISE RATIO

摘要：

Pitch detection in noisy environment plays an important role in speech analyzing and recognition. In this paper, an effective pitch detection method is proposed. Noised speech is denoised by an improved form of spectral subtraction method. A linear predictive coding analysis is performed on the segmented speech, and the segmented speech is filtered by the inverse filter to give the linear prediction error. The cepstrum of the linear prediction error and the autocorrelation function of the cepstrum are calculated. The result of the simulation shows that compared with the autocorrelation function pitch detection method, a distinct improvement in effect can be seen by using this improved method in pitch detection.

关键词： Pitch detection spectral subtraction linear prediction error cepstrum autocorrelation function

作者: ZHEN-DONG ZHAO XI-MEI HU JING-FENG TIAN

作者单位: Department of Electronic and Communication Engineering, North China Electric Power University, Baodi North China Electric Power University Science & Technology College, Baoding 071002, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2775-2778

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）