Accurate speech decomposition into periodic and aperiodic components based on Discrete Harmonic Transform
Accurate speech decomposition into periodic and aperiodic components based on Discrete Harmonic Transform
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基于离散谐波变换的精确语音分解为周期和非周期分量
DOI：
10.5281/zenodo.40682
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
A. Petrovsky
中科院分区：
文献类型：
--
作者：
P. Zubrycki;A. Petrovsky
提出了一种将语音信号分解为周期分量和非周期分量的新方法。该方法是基于离散调和变换(DHT)的。这种变换能够在谐波域中分析信号的频谱。分布式哈希表的另一个特征是它能够使变换核与时变的基音频率同步。该系统在没有关于音调轨迹的先验知识的情况下工作。与大多数应用不同，所提出的方法先估计帧内的基频变化，然后再估计基频本身。周期分量被建模为与谐波相关的正弦波的和，为了准确估计幅值和初始相位，使用了DHT。非周期分量被定义为原始语音和估计的周期分量之间的差。
This paper presents a new method for the speech signal decomposition into periodic and aperiodic components. Proposed method is based on the Discrete Harmonic Transform (DHT). This transformation is able to analyze the signal spectrum in the harmonic domain. Another feature of the DHT is its ability to synchronize the transformation kernel with the time-varying pitch frequency. The system works without a priori knowledge about the pitch track. Unlike the most applications proposed method estimates the fundamental frequency changes within a frame before estimating fundamental the frequency itself. Periodic component is modelled as a sum of harmonically related sinusoids and for accurate estimation of the amplitudes and initial phases DHT is used. Aperiodic component is defined as a difference between the original speech and the estimated periodic component.