A Method Combining LPC-Based Cepstrum and Harmonic Product Spectrum for Pitch Detection

Hui Ding, Bo Qian, Yanping Li, Zhenmin Tang
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引用次数: 17

Abstract

A novel method of pitch detection, combining LPCbased Cepstrum and Harmonic Product Spectrum (HPS), has been proposed. The interaction between the vocal tract and the glottal excitation disturb the detection from glottal excitation, so we use Linear Prediction Residual to eliminate the vocal tract information and the high frequency noise which can improve the accurate to some extent. In real world, when the speech signal has been transmitted through the telephone system, low frequency including pitch information have been cut off which can significantly attenuate the detection of fundamental pitch frequency. In this paper, we use the novel method combining LPC-based Cepstrum and HPS to deal with this problem and pitch errors. Experiment studied indicates that this novel method is effective and valuable for application in pitch detection, since it robustly handles different frequency domain noise and pitch errors.
基于lpc的倒谱与谐波积谱相结合的基音检测方法
提出了一种基于倒谱和谐波积谱相结合的基音检测新方法。声道和声门兴奋之间的相互作用干扰了声门兴奋的检测,因此我们采用线性预测残差法去除声道信息和高频噪声,在一定程度上提高了检测的准确性。在现实世界中,语音信号在通过电话系统传输时,包含基音信息的低频已经被切断,这将大大削弱对基音频率的检测。本文采用基于lpc的倒频谱和HPS相结合的新方法来处理这一问题和基音误差。实验结果表明,该方法对不同频域噪声和基音误差具有较强的鲁棒性,在基音检测中具有一定的应用价值。
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