This paper investigates the differences occuring in the excitation for different voice qualities. Its goal is two-fold. First a large corpus containing three voice qualities (modal, soft and loud) uttered by the same speaker is analyzed and significant differences in characteristics extracted from the excitation are observed. Secondly rules of modification derived from the analysis are used to build a voice quality transformation system applied as a post-process to HMM-based speech synthesis. The system is shown to effectively achieve the transformations while maintaining the delivered quality.

中文翻译：

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基于激励的语音质量分析与修正

本文研究了不同音质在激励中出现的差异。它的目标是双重的。首先分析包含由同一说话者发出的三种语音质量（模态、柔和和响亮）的大型语料库，并观察到从激励中提取的特征的显着差异。其次，来自分析的修改规则用于构建语音质量转换系统，作为基于 HMM 的语音合成的后处理。该系统被证明可以有效地实现转换，同时保持交付的质量。