Effect of GCI perturbation on speech quality in Indian languages

P. Lehana, P. C. Pandey
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引用次数: 5

Abstract

Harmonic plus noise model (HNM) divides the speech spectrum into two bands: harmonic and noise. One is modeled with harmonics of the fundamental and the other is simulated using random noise. As HNM analysis/synthesis is performed at each glottal closure instant (GCI), errors in estimation of GCIs affect the quality of the synthesized speech. The objective of this paper is to investigate the effect of the perturbation in GCIs on the synthesized speech quality. Childers and Hu's algorithm is used for GCIs calculations. Investigations show that the speech quality is very sensitive to positions of the GCIs. A small perturbation with maximum of 4 % of the local pitch period considerably degrades the synthesized speech. Perturbations above 8 % severely affect quality of the output speech.
GCI扰动对印度语语音质量的影响
谐波加噪声模型(HNM)将语音频谱分为谐波和噪声两个波段。一个用基波的谐波建模,另一个用随机噪声模拟。由于HNM分析/合成是在每个声门关闭瞬间(GCI)进行的,因此对GCI的估计误差会影响合成语音的质量。本文的目的是研究gci中扰动对合成语音质量的影响。Childers和Hu的算法用于gci的计算。调查表明,语音质量对gci的位置非常敏感。最大为局部音高周期4%的小扰动会大大降低合成语音的质量。超过8%的扰动严重影响输出语音的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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