基于小波变换的音频信号基频提取

通过对小波变换表征信号突变原理的研究，给出了基于小波变换的音频信号基频提取的原理和算法。在算法的实现过程中，利用信号在时域和频域的对应关系提出了一种动态确定小波变换最佳尺度的方法，克服了固定变换尺度在检测基频变化范围大的声音信号时的不足，并将数学统计方法引入到极大值点的提取。在音频信号的实时基频检测实验中，该算法较准确地定位最佳尺度和极大值点，取得了较好的基频提取结果。

Audio Signal Pitch Extraction Based on Wavelet Transform

By researching on the theory of the signal sudden change token by wavelet, this paper provides the principle and algorithm of audio signal pitch extraction based on wavelet principle. In the course of algorithm realization, this paper uses the corresponding relationship of the signal in time domain and frequency domain to propose a method for dynamically determining the optimal scale, which conquers the deficiency of fixed transform scale when the pitch has a fargoing change, and it induces the statistic into wavelet maximum extraction simultaneously.In the real time experimentation for pitch detection of audio signal, the algorithm ensures the optimal scale and extracts the maximum of wavelet transform, and it has achieved a better result.