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New Analysis Method For Harmonic Plus Noise Model Based on Time-Domain Periodicity Score

机译:基于时域周期得分的谐波加噪声模型分析新方法

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Harmonic plus Noise Model (HMN) is the two-band speech model which assumes the speech signal to be composed of a harmonic part and a noise part. It is very important to determine the reasonable maximum voiced frequency which delimit harmonic and noise parts for high-quality synthetic speech. In this paper, a new anlaysis method for HMM, especially maximum voiced frequency, is proposed, whereby the time-domain periodicity score is calculated for each harmonic band and the band of maximum score is selected for maximum voiced frequency. Moreover, recurrent equation of periodicity score is developed for fast implementation. This mehtod has proven to be robust to the inaccuracy of pitch estimation and the firequency resolution problem in low-pitched speech.
机译:谐波加噪声模型(HMN)是一种两频带语音模型,它假定语音信号由谐波部分和噪声部分组成。确定合理的最大发声频率对界定高质量合成语音的谐波和噪声部分非常重要,这一点非常重要。本文提出了一种新的HMM分析方法,特别是最大语音频率,从而为每个谐波频带计算时域周期性分数,并为最大语音频率选择最大分数频带。此外,周期性分数的循环方程式被开发用于快速实现。这种方法已被证明对于低音调语音中的音调估计和频率分辨率问题不准确。

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