基于小波变换的重叠语音基频提取及声调识别  

Overlapping speech pitch extraction and tone recognition based on wavelet transform

作　　者：赵鹤鸣[1] 周旭东[1] 金延庆 翁桂荣[1] 

机构地区：[1]苏州大学电子工程系,江苏苏州215006

出　　处：《声学学报》1999年第1期87-93,共7页Acta Acustica

基　　金：江苏省自然科学基金

摘　　要：提出一种基于小波变换的重叠语音基频提取及声调识别的方法。利用小波的伸缩和时移特性，通过对重叠语音做多尺度的小波变换，可以有效地提取重叠语音中各自的基音频率，并在此基础上实现声调的识别。实验表明，此方法是有效的，是重叠语音基频提取及声调识别的一种新途径。Based on wavelet transform, this paper submits a new approach to overlapping speech pitch extraction and tone recognition. Taking advantage of retractility and time-delay characteristics of wavelet, it can detect each pitch in overlapping speech effectively and implement tone recognition by multiscale wavelet transform on overlapping speech. Results of experiment showed the approach is efficient.

关 键 词：重叠语音 小波变换 声调识别 基音频率 

分 类 号：TN912.34[电子电信—通信与信息系统]