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AUDITIVE LEARNING BASED CHINESE FO PREDICTION

机译:基于听觉学习的中国食品预测

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The paper describes a new F0 model based on auditive learning (AL) method. Being focused on the notion of prosody templates, we confirmed that FO patterns for a syllable can be extracted from various anamorphosis of FO contours in spontaneous speech. It is much suitable to use FO templates selection method for Chinese F0 prediction with prosody cost function (PCF). Furthermore, an AL method is used to adjust the weight of PCF dynamically in application. Unlike other methods, the approach may give feedback as to exactly what are the crucial parameters determining the successful choice of patterns. The paper also analyzes the error distribution of the FO predicting results. Both smoothing testing and FO range testing show that the synthesis results are much closed to human being.
机译:本文介绍了一种基于高效学习(AL)方法的新F0模型。专注于韵律模板的概念,我们证实可以从自发语音中从各种散形的各种散形的散差中提取音节的模式。对于使用韵律成本功能(PCF)的中国F0预测来使用FO模板选择方法很多。此外,A1方法用于在应用中动态地调节PCF的重量。与其他方法不同,该方法可以提供反馈,尽可能确定确定成功选择模式的重要参数。本文还分析了FO预测结果的误差分布。光滑测试和FO系列测试都表明合成结果对人类有很大封闭。

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