Abstract: A novel method of pitch detection,combining LPC-based cepstrum and Harmonic Product Spectrum（HPS）,has been proposed.We use linear prediction residual to eliminate the vocal tract information to improve the accurate.In real world,when the speech signal has been transmitted through the telephone system,low frequency including much pitch information have been cutoff,which can significantly attenuate the fundamental pitch frequency.In this paper,we combine LPC-based cepstrum and HPS to deal with this problem and pitch errors.Experiment studied indicates that this novel method is very effective and valuable for application,since it robustly handles noise and pitch errors.

Key words: pitch detection, cepstrum, Harmonic Product Spectrum（HPS）, linear prediction residual

摘要： 基音检测算法一直是音频处理领域的研究热点,但是语音信号声道特征对基音及其谐振结构的影响很大,增加了检测的难度。利用LP残差仅仅保留声门激励信号的特点,通过倒谱分析避免了声道特征和噪声的影响。同时针对倒谱分析中经常出现的半频倍频问题和低频截断问题,引入了谐波积谱（HPS）的解决方案,提高了识别的精度。实验表明,该方法能够较好地避免半频倍频错误,对于截去了低频和高频的电话信道语音也能够得到令人满意的检测结果,同时作为帧检测技术能够满足实时应用的需要。

关键词: 基音检测, 倒谱法, 线性预测残差, 谐波积谱