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基于小波变换的语音信号基音频率检测法
Speech Signal Fundamental Frequency Detection Based on Wavelet Transform
【摘要】 将基于小波变换与多分辨分析 (MRA)下的Mallat算法与传统的快速傅立叶变换(FFT)相结合 ,提出了一种新的语音信号的基音频率检测方法。实验结果表明 ,这种方法能有效地抑制语音信号中共振峰对基音频率的影响 ,且不必考虑语音信号的短时性。与传统基音估计方法比较 ,此方法具有运算速度快、基音估计准确度高的特点。
【Abstract】 Using Mallat algorithm on the basis of wavelet transform and multiresolution analysis(MRA) in connection with traditional FFT,a new speech signal fundamental frequency detection method is presented.Experiments showed the method can restrain effect of speech signal formant on fundamental frequency without consideration of transient character of speech signal,being characterized by calculation quickness and estimation accuracy in comparison with traditional method.
【关键词】 小波变换;
多分辨分析;
基音估计;
共振峰;
【Key words】 wavelet transform; MRA; fundamental frequency estimation; formant;
【Key words】 wavelet transform; MRA; fundamental frequency estimation; formant;
- 【文献出处】 吉林工业大学学报(工学版) ,Journal of Jilin University of Technology , 编辑部邮箱 ,2002年02期
- 【分类号】TN912.3
- 【被引频次】21
- 【下载频次】384