HNM:一个简单、高效的语音谐波+噪声模型

Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Pub Date : 1993-10-17 DOI:10.1109/ASPAA.1993.379970

Jean Laroche, Y. Stylianou, Eric Moulines

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引用次数: 55

摘要

提出了一种新的基于语音信号谐波+噪声表示的分析/修正/合成模型HNM。HNM模型有几个特点:(1)HNM假设语音信号由确定性部分和随机部分组成，(2)确定性部分假设只包含复幅线性变化的谐波相关正弦波，(3)随机部分在时域和频域都建模。基音同步分析技术利用基音的粗略估计，同时计算模型的各种参数，并对基音估计进行细化。由于信号被分解为确定性部分和随机部分，因此可以对每个部分应用不同的修改方法，从而产生更自然的再合成。

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HNM: a simple, efficient harmonic+noise model for speech

HNM, a new analysis/modification/synthesis model based on a harmonic+noise representation of the speech signal is presented. The HNM model has several specificities: (1) HNM assumes the speech signal to be composed of a deterministic part and of a stochastic part, (2) the deterministic part is assumed to contain only harmonically related sinusoids with linearly varying complex amplitudes, and (3) the stochastic part is modeled in both the time domain and the frequency domain. The pitch-synchronous analysis technique makes use of a coarse estimate of the pitch and simultaneously calculates the various parameters of the model and refines the pitch estimate. Because the signal is decomposed into a deterministic and a stochastic part, different modification methods can be applied to each part, yielding more natural resyntheses.<>

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Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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