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Speech classification apparatus, speech classification method, program

机译:语音分类装置,语音分类方法,程序

摘要

PROBLEM TO BE SOLVED: To provide a voice classification device capable of classifying whether a voice is in a reading tone or in a conversation tone with high accuracy.SOLUTION: A voice classification device includes: a sound feature quantity sequence extraction unit for extracting N sound feature quantity sequences in total from each of N-pieces of speech, with N being an integer equal to or greater than 2; a base speech model storage unit for storing a base speech model; a mixed normal distribution adaptation unit for generating N speech models by adapting the base speech model to each of the N sound feature quantity sequences; a super vector calculation unit for outputting N speech super vectors from the N speech models; a dispersion calculation unit for generating a speech fluctuation vector from the N speech super vectors; a model parameter storage unit for storing a model parameter of an identifier; and a tone discrimination unit for generating a tone discrimination result for each of the N-pieces of speech, based on the speech fluctuation vector the model parameter of the identifier.
机译:解决的问题:提供一种语音分类装置,其能够高精度地对语音是阅读音还是对话音进行分类。解决方案:语音分类装置包括:用于提取N种声音的声音特征量序列提取单元。来自N个语音的每一个的特征量序列的总和,其中N是等于或大于2的整数;基本语音模型存储单元,用于存储基本语音模型;混合正态分布自适应单元,用于通过使基本语音模型适应于N个声音特征量序列中的每一个来生成N个语音模型;超级向量计算单元,用于从N个语音模型中输出N个语音超级向量;色散计算单元,用于从所述N个语音超向量生成语音波动向量;模型参数存储单元,用于存储标识符的模型参数;语音辨别单元,用于基于语音波动矢量,标识符的模型参数,针对N个语音的每一个生成语音辨别结果。

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