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System and method for noisy automatic speech recognition employing joint compensation of additive and convolutive distortions

机译:使用加性和卷积性失真的联合补偿的用于噪声自动语音识别的系统和方法

摘要

A system for, and method of, noisy automatic speech recognition employing joint compensation of additive and convolutive distortions and a digital signal processor incorporating the system or the method. In one embodiment, the system includes: (1) an additive distortion factor estimator configured to estimate an additive distortion factor, (2) an acoustic model compensator coupled to the additive distortion factor estimator and configured to use estimates of a convolutive distortion factor and the additive distortion factor to compensate acoustic models and recognize a current utterance, (3) an utterance aligner coupled to the acoustic model compensator and configured to align the current utterance using recognition output and (4) a convolutive distortion factor estimator coupled to the utterance aligner and configured to estimate an updated convolutive distortion factor based on the current utterance using first-order differential terms but disregarding log-spectral domain variance terms.
机译:一种用于噪声自动语音识别的系统和方法,其采用加法和卷积失真的联合补偿,以及采用该系统或方法的数字信号处理器。在一个实施例中,该系统包括:(1)加性失真因子估计器,其配置为估计加性失真因子,(2)声学模型补偿器,耦合至该加性失真因子估计器,并配置为使用卷积性失真因子和加性失真因子以补偿声学模型并识别电流话语,(3)耦合到声学模型补偿器并配置为使用识别输出对齐电流话语的讲话对齐器,以及(4)耦合到语音对齐器的卷积失真因子估计器,以及配置为使用一阶微分项但不考虑对数谱域方差项,基于当前话语估计更新的卷积失真因子。

著录项

  • 公开/公告号US2007033034A1

    专利类型

  • 公开/公告日2007-02-08

    原文格式PDF

  • 申请/专利权人 KAISHENG N. YAO;

    申请/专利号US20050195895

  • 发明设计人 KAISHENG N. YAO;

    申请日2005-08-03

  • 分类号G10L15/06;

  • 国家 US

  • 入库时间 2022-08-21 21:01:43

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