基于HNM方案的普通话音节信号合成

H. Gu, Yen-Zuo Zhou
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引用次数: 2

摘要

本文对谐波加噪声模型(HNM)进行了改进,设计了一种普通话音节信号合成方案。每个音节只记录一次,用于合成具有不同韵律特征的音节信号,而不会造成明显的信号质量下降。对于合成音节时间轴上的一个控制点,插值两个对应的分析帧的HNM参数,得到该控制点的HNM参数。此外,对于音高轮廓调谐,在控制点上对HNM参数进行另一次保留音色的插值。然后,用重写的HNM合成方程合成信号样本。从感知测试的结果来看,本文提出的基于HNM的方案确实可以合成音色一致、信号清晰度高的音节信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mandarin syllable signal synthesis using an HNM based scheme
In this paper, HNM (harmonic plus noise model) is enhanced and used to design a scheme for synthesizing Mandarin syllable signals. Each syllable is recorded once only and used to synthesize syllable signals with diverse prosodic characteristics without suffering significant signal-quality degradation. For a control point on the synthetic syllable's time axis, two corresponding analysis frames' HNM parameters are interpolated to derive the HNM parameters for the control point. Furthermore, for pitch-contour tuning, another timbre-reserving interpolation is performed for the HNM parameters on a control point. Then, signal samples are synthesized with the HNM synthesis equations rewritten here. According to the result of the perception tests, the HNM based scheme proposed here can indeed be used to synthesize syllable signals with consistent timbre and high signal clarity.
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