首页> 外国专利> NEURAL NETWORK FOR CONTINUOUS SPEECH SEGMENTATION AND RECOGNITION

NEURAL NETWORK FOR CONTINUOUS SPEECH SEGMENTATION AND RECOGNITION

机译:连续语音识别和识别的神经网络

摘要

Continuous automatic speech segmentation and recognition systems and methods are described that include a detector coupled to a neural network. The neural network performs speech recognition processing on feature vectors sequentially extracted from an audio data stream to attempt to recognize a word from a set of words of a predetermined vocabulary. The neural network has word neural paths to each output a respective word output signal to the detector for each of the set of words. The neural network also has a trigger neural path to output a trigger signal to the detector to control when the detector reviews the word output signals to recognize the word.
机译:描述了连续的自动语音分割和识别系统和方法,其包括耦合到神经网络的检测器。神经网络对从音频数据流中顺序提取的特征向量执行语音识别处理,以尝试从预定词汇的一组单词中识别一个单词。该神经网络具有单词神经路径,以分别向单词集合中的每个单词向检测器输出相应的单词输出信号。该神经网络还具有触发神经路径,以将触发信号输出到检测器,以控制检测器何时查看单词输出信号以识别单词。

著录项

  • 公开/公告号US2019325862A1

    专利类型

  • 公开/公告日2019-10-24

    原文格式PDF

  • 申请/专利权人 ETA COMPUTE INC.;

    申请/专利号US201916392434

  • 申请日2019-04-23

  • 分类号G10L15/16;G10L15/04;G10L15/08;G10L15/06;

  • 国家 US

  • 入库时间 2022-08-21 12:10:59

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