在本文中我们用短时能量法来对语音信号进行清浊音判决
并根据一定的判决准则进行清浊音判断
清浊音 Tang Qi * （ Beijing University of Posts and telecommunications
它能直接对时域信号采样值进行分帧、求短时自相关函数
本文提出了一种结合自相关函数和平均幅度差函数法提取基音频率
平均幅度差函数
总览 评价 唐琦 * （ 北京邮电大学信息与通信工程学院
） Abstract： Phonetic pitch detection is a pivotal factor for the veracity of the tone recognition
The major solved problem is to accurately phonetic pitch frequency detection, especially the frequency of the sonant words
Up to now, there have been many good detection algorithms to improve the efficiency of the pitch detection algorithm
And the autocorrelation detection method is a time-domain algorithm, which can directly get frames and calculate short-time auto-correlate function according to time-domain signal samples
It can decide unvoiced or voiced frame according to the frame autocorrelation function, In this paper the algorithm of voiced or unvoiced classification based on time-domain energy is firstly, the efficient pre-processing and post-processing technologies are introduced before and after the pitch detection processes
But the algorithm is very complicated
A method of syllable segmentation is given, which combines with autocorrelation function and average magnitude difference methods
Experiment is done to verify the improving efficiency of the method
Keywords： autocorrelation; average magnitude difference function(AMDF); pitch detection; unvoiced or voiced sound
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