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基音周期的提取在语音信号处理领域有着广泛的应用。受基于归一化自相关函数基音周期提取算法和多带激励(Multi-band excitation,MBE)声码器中基音检测算法的启发,本文提出了一种改进的基音周期提取算法。该算法主要由预处理、时域基音粗估、基音平滑、时变滤波搜索、小数基音周期估计等5个部分组成。实验表明:该算法能达到更高的搜索准确度,得到更加平滑的基音周期曲线;与传统自相关检测算法相比,该算法有很好的抗噪性。
Pitch extraction in the voice signal processing has a wide range of applications. Inspired by the pitch extraction algorithm based on normalized autocorrelation function and the pitch detection algorithm in Multi-band Exciter (MBE) vocoder, this paper proposes an improved pitch cycle extraction algorithm. The algorithm mainly consists of five parts: pre-processing, rough pitch in time domain, pitch-smoothing, time-varying filtering search and fractional pitch period estimation. Experiments show that this algorithm can achieve higher search accuracy and get a smoother pitch curve. Compared with the traditional autocorrelation detection algorithm, this algorithm has good anti-noise performance.