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SOUND MODEL GENERATING METHOD, SPEECH RECOGNITION DEVICE, AND VEHICLE WITH SPEECH RECOGNITION DEVICE

机译:声音模型生成方法,语音识别装置以及具有语音识别装置的车辆

摘要

PROBLEM TO BE SOLVED: To obtain high recognition performance in various noisy environments in an automobile etc.;SOLUTION: A speech recognition device has a noise data decision part 14 which inputs data representing the travel state of the automobile, an ambient environment, and the operation state of mounted equipment and decides which of (n) previously classified kinds of noise data current noise belongs to, (n) kinds of sound models M1 to Mn generated by generating (n) kinds of noise superposed speech data by superposing standard speech data on (n) kinds of noise data respectively and then performing noise removal processing, a noise removal processing part 16 which inputs a noise superposed speech with the superposed noise from a microphone 11 and also inputs the noise kind decision result, and removes noise from the noise-superposed speech, and a speech recognition processing part 18 which performs speech recognition for the noise-removed speech by using the sound model corresponding to the noise kind decided by the noise data decision part 14 among the (n) kinds of sound models.;COPYRIGHT: (C)2004,JPO&NCIPI
机译:解决的问题:为了在汽车等各种嘈杂环境中获得高识别性能;解决方案:语音识别装置具有噪声数据判定部分14,该噪声数据判定部分14输入代表汽车的行驶状态,周围环境和环境的数据。已安装设备的运行状态,并确定(n)种先前分类的噪声数据中当前的噪声属于哪一种,(n)种声音模型M1至Mn,这些模型通过叠加标准语音数据生成(n)种噪声叠加语音数据而生成噪声消除处理部分16分别对(n)种噪声数据进行噪声消除处理,该噪声消除处理部分16将噪声叠加语音与来自麦克风11的叠加噪声一起输入,并且还输入噪声种类判定结果,并从噪声消除处理部分16去除噪声。噪声叠加语音和通过使用声音模型对去除噪声的语音执行语音识别的语音识别处理部分18对应(n)种声音模型中,由噪声数据决定部分14决定的噪声种类。版权所有:(C)2004,JPO&NCIPI

著录项

  • 公开/公告号JP2004206063A

    专利类型

  • 公开/公告日2004-07-22

    原文格式PDF

  • 申请/专利权人 SEIKO EPSON CORP;

    申请/专利号JP20030198707

  • 发明设计人 MIYAZAWA YASUNAGA;

    申请日2003-07-17

  • 分类号G10L15/06;G10L15/00;G10L15/20;G10L15/28;G10L21/02;

  • 国家 JP

  • 入库时间 2022-08-21 23:33:01

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