首页> 外文会议>6th International Conference on Spoken Language Processing ICSLP 2000 Oct.16-Oct.20 2000 Beijing International Convention Center, Beijing, China >An Improved Speech Analysis-Synthesis Algorithm Based on the Autoregressive With Exogenous Input Speech Production Model
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An Improved Speech Analysis-Synthesis Algorithm Based on the Autoregressive With Exogenous Input Speech Production Model

机译:一种基于自回归外生输入语音产生模型的改进语音分析综合算法

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Ding et al. have explored a novel pitch-synchronous speech analysis-synthesis method[1] based on an auto-regressive with exogenous input (ARX) speech production model. This method makes an automatic estimation of the vocal tract (formant) and voice source parameters from a speech utterance. This method, however, has suffered deficiencies in the anlaysis of a hihg-pitch voice and the introduction of click sounds in the transition between vocalic and weak voiced consonantal segments. This paper proposes an improved ARX method in order to solve the problems mentioned above. Perceptual comparison experiments have shown that quality of re-synthesized speech by the proposed method is higher than that by a well-known cepstral method.
机译:丁等。基于外生输入自回归语音产生模型,我们探索了一种新颖的音调同步语音分析合成方法[1]。该方法从语音中自动估计声道(共振峰)和语音源参数。但是,这种方法在高音调音色的分析和在语音和弱音辅音段之间的过渡中引入咔嗒声方面存在缺陷。为了解决上述问题,本文提出了一种改进的ARX方法。感知比较实验表明,所提出的方法重新合成语音的质量高于众所周知的倒谱方法。

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