首页> 外国专利> Hidden Markov Model for Speech Processing with Training Method

Hidden Markov Model for Speech Processing with Training Method

机译:训练方法的语音处理隐马尔可夫模型

摘要

A method, system and apparatus are shown for identifying non-language speech sounds in a speech or audio signal. An audio signal is segmented and feature vectors are extracted from the segments of the audio signal. The segment is classified using a hidden Markov model (HMM) that has been trained on sequences of these feature vectors. Post-processing components can be utilized to enhance classification. An embodiment is described in which the hidden Markov model is used to classify a segment as a language speech sound or one of a variety of non-language speech sounds. Another embodiment is described in which the hidden Markov model is trained using discriminative learning.
机译:示出了一种用于识别语音或音频信号中的非语言语音的方法,系统和装置。分割音频信号,并从音频信号的各段中提取特征向量。使用已经在这些特征向量的序列上训练的隐马尔可夫模型(HMM)对片段进行分类。后处理组件可用于增强分类。描述了一个实施例,其中使用隐马尔可夫模型将片段分类为语言语音或多种非语言语音中的一种。描述了另一个实施例,其中使用判别学习来训练隐马尔可夫模型。

著录项

  • 公开/公告号US2011208521A1

    专利类型

  • 公开/公告日2011-08-25

    原文格式PDF

  • 申请/专利权人 MATTHEW MCCLAIN;

    申请/专利号US200913059048

  • 发明设计人 MATTHEW MCCLAIN;

    申请日2009-08-13

  • 分类号G10L15/20;

  • 国家 US

  • 入库时间 2022-08-21 18:14:31

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号