会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明公开
    • SPEECH RECOGNITION DEVICE AND COMPUTER PROGRAM
    • 语音识别设备和计算机程序
    • EP3300075A1
    • 2018-03-28
    • EP16799785.7
    • 2016-05-10
    • NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    • KANDA, Naoyuki
    • G10L15/16G10L15/14G10L15/193
    • G10L15/142G10L15/16G10L15/193G10L15/22
    • [Object] An object is to provide a speech recognition device with improved recognition accuracy using characteristics of a neural network.
      [Solution] A speech recognition device includes: an acoustic model 308 implemented by a RNN (recurrent neural network) for calculating, for each state sequence, the posterior probability of a state sequence in response to an observed sequence consisting of prescribed speech features obtained from a speech; a WFST 320 based on S -1 HCLG calculating, for each word sequence, posterior probability of a word sequence in response to a state sequence; and a hypothesis selecting unit 322, performing speech recognition of the speech signal based on a score calculated for each hypothesis of a word sequence corresponding to the speech signal, using the posterior probabilities calculated by the acoustic model 308 and the WFST 320 for the input observed sequence.
    • 本发明的目的是提供一种利用神经网络的特性提高识别精度的语音识别装置。 [解决方案]语音识别设备包括:由RNN(递归神经网络)实现的声学模型308,用于针对每个状态序列计算状态序列的后验概率以响应于观察到的序列,该序列由从 一个演讲; 基于S-1HCLG的WFST 320针对每个单词序列计算单词序列响应于状态序列的后验概率; 以及假设选择单元322,使用由声学模型308和WFST 320计算的后验概率,基于针对与语音信号相对应的单词序列的每个假设计算的分数来对语音信号执行语音识别 序列。