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An Improved Speech Analysis-Synthesis Algorithm Based on the Autoregressive With Exogenous Input Speech Production Model

机译:基于外源输入语音生产模型的自回归改进的语音分析合成算法

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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:丁等人。基于具有外源输入(ARX)语音生产模型的自动回归,探索了一种新型俯仰同步语音分析 - 合成方法[1]。该方法从语音话语自动估计声道(格式体)和语音源参数。然而,这种方法在HiHG音调语音的Anlaysis中遭受了缺陷,并且在声学和弱浊音段之间的过渡中引入了咔哒声。本文提出了一种改进的ARX方法,以解决上述问题。感知的比较实验表明,通过众所周知的方法,通过众所周知的倒芯方法的重新合成语音的质量高。

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