首页> 外国专利> Acoustic model parameter learning method and that device which are based on the linear taxonomic model, phoneme weight equipped limited state transmitter formation method and that device, those

Acoustic model parameter learning method and that device which are based on the linear taxonomic model, phoneme weight equipped limited state transmitter formation method and that device, those

机译:基于线性分类模型的声学模型参数学习方法和装置,配备音素权重的有限状态发射机的形成方法和装置,

摘要

PROBLEM TO BE SOLVED: To express an acoustic model and a language model as the same model.;SOLUTION: The acoustic model parameter learning method includes a model parameter initializing process and a model parameter updating process. In the model parameter initializing process, a model parameter for calculating a recognition score is initialized. In the model parameter updating process, a feature quantity vector is input, and an objective function based on accumulation of an inner product value of the feature quantity vector and the model parameter is given from outside. The model parameter which maximizes the objective function is calculated by updating the initialized model parameter to output a partial model parameter composed of the predetermined number of frames corresponding to each phoneme.;COPYRIGHT: (C)2011,JPO&INPIT
机译:解决的问题:将声学模型和语言模型表达为同一模型。解决方案:声学模型参数学习方法包括模型参数初始化过程和模型参数更新过程。在模型参数初始化处理中,用于计算识别分数的模型参数被初始化。在模型参数更新处理中,输入特征量向量,并且从外部给出基于特征量向量的内积值和模型参数的累加的目标函数。通过更新初始化的模型参数以输出由与每个音素相对应的预定数量的帧组成的部分模型参数来计算使目标函数最大化的模型参数。COPYRIGHT:(C)2011,JPO&INPIT

著录项

  • 公开/公告号JP5385810B2

    专利类型

  • 公开/公告日2014-01-08

    原文格式PDF

  • 申请/专利权人 日本電信電話株式会社;

    申请/专利号JP20100023141

  • 发明设计人 大庭 隆伸;堀 貴明;

    申请日2010-02-04

  • 分类号G10L15/06;G10L15/193;G10L15/18;

  • 国家 JP

  • 入库时间 2022-08-21 16:10:37

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