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Methods for speech enhancement and speech recognition using neural networks

机译:使用神经网络进行语音增强和语音识别的方法

摘要

The present invention relates to implementing a system and method to improve speech recognition and speech enhancement of noisy speech. The present invention discloses a way to improve the noise robustness of a speech recognition system by providing additional input to a Neural Network speech classifier. The additional information characterizes the noise environment of the speech. The present invention further discloses a speech separation system that uses the output of the neural network. The speech separation system employs models for the speech and for the distractor or noise. The neural network is used to identify the most likely combinations of speech and noise. Furthermore, a system for efficiently finding the most likely clean speech log-spectrum value is disclosed.
机译:本发明涉及实现一种系统和方法,以改善语音识别和嘈杂语音的语音增强。本发明公开了一种通过向神经网络语音分类器提供附加输入来改善语音识别系统的噪声鲁棒性的方法。附加信息表征了语音的噪声环境。本发明还公开了一种使用神经网络的输出的语音分离系统。语音分离系统采用语音模型和干扰器或噪声模型。神经网络用于识别语音和噪声的最可能组合。此外,公开了一种用于有效地找到最可能的干净语音对数谱值的系统。

著录项

  • 公开/公告号US9892731B2

    专利类型

  • 公开/公告日2018-02-13

    原文格式PDF

  • 申请/专利权人 TRAUSTI THOR KRISTJANSSON;

    申请/专利号US201615278438

  • 发明设计人 TRAUSTI THOR KRISTJANSSON;

    申请日2016-09-28

  • 分类号G10L15/16;G10L15/20;G10L15/06;G10L21/0216;

  • 国家 US

  • 入库时间 2022-08-21 12:57:47

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