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STATISTICAL PARAMETER MODEL ESTABLISHMENT METHOD, SPEECH SYNTHESIS METHOD, SERVER AND STORAGE MEDIUM

机译:统计参数模型的建立方法,语音合成方法,服务器和存储介质

摘要

A statistical parameter modeling method is disclosed, including: obtaining, by a server, model training data, the model training data including a text feature sequence and a corresponding original speech sample sequence; inputting, by the server, an original vector matrix formed by matching a text feature sample point in the text feature sample sequence with a speech sample point in the original speech sample sequence into a statistical parameter model for training; performing, by the server, non-linear mapping calculation on the original vector matrix in a hidden layer, to output a corresponding prediction speech sample point; and determining, by the server, a model parameter of the statistical parameter model according to the prediction speech sample point and a corresponding original speech sample point by using a smallest difference principle, to obtain a corresponding target statistical parameter model.
机译:一种统计参数建模方法,包括:服务器获取模型训练数据,该模型训练数据包括文本特征序列和对应的原始语音样本序列;服务器将通过将文本特征样本序列中的文本特征样本点与原始语音样本序列中的语音样本点进行匹配而形成的原始矢量矩阵输入到统计参数模型中进行训练;服务器对隐藏层中的原始矢量矩阵进行非线性映射计算,以输出对应的预测语音采样点;服务器通过使用最小差原理,根据预测语音样本点和对应的原始语音样本点,确定统计参数模型的模型参数,得到对应的目标统计参数模型。

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