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Implementation and evaluation of a Greek Text To Speech System based on an Harmonic plus Noise Model

机译:基于谐波加噪声模型的希腊文字转语音系统的实现和评估

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摘要

The use of text to speech (TTS) systems beyond pure scientific applications has been gaining ground and has been incorporated in everyday life aspects. Thus, the development of TTS system, that can produce synthesized speech of high quality is more than necessary in state-of-the-art everyday life applications. This paper evaluates the performance of a TTS using harmonic plus noise model (HNM) - a speech analysis/synthesis algorithm, as part of its DSP module. A TTS for the Greek language is studied with respect to its DSP module and an evaluation is presented of the HNM algorithm in terms of overall performance and the impact of its attributes on the results quality.
机译:超越纯科学应用的文本转语音(TTS)系统的使用已得到普及,并已融入日常生活中。因此,在当今最先进的日常生活应用中,能够产生高质量合成语音的TTS系统的开发已非必要。本文使用谐波加噪声模型(HNM)(一种语音分析/合成算法)作为其DSP模块的一部分,来评估TTS的性能。针对希腊语的TTS及其DSP模块进行了研究,并从整体性能及其属性对结果质量的影响方面对HNM算法进行了评估。

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