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1. 发明申请

WO2016049611A1 NEURAL NETWORK VOICE ACTIVITY DETECTION EMPLOYING RUNNING RANGE NORMALIZATION 审中-公开
标题翻译：神经网络语音活动检测运行范围正常化
公开(公告)号：WO2016049611A1
公开(公告)日：2016-03-31
申请号：PCT/US2015/052519
申请日：2015-09-26
申请人： CYPHER, LLC
发明人： VICKERS, Earl
IPC分类号： G10L15/16 , G10L25/27 , G10L25/78
CPC分类号： G10L21/0264 , G10L21/0224 , G10L25/30 , G10L25/60 , G10L25/78 , G10L25/84 , G10L2015/0636
摘要： A "running range normalization" method includes computing running estimates of the range of values of features useful for voice activity detection (VAD) and normalizing the features by mapping them to a desired range. Running range normalization includes computation of running estimates of the minimum and maximum values of VAD features and normalizing the feature values by mapping the original range to a desired range. Smoothing coefficients are optionally selected to directionally bias a rate of change of at least one of the running estimates of the minimum and maximum values. The normalized VAD feature parameters are used to train a machine learning algorithm to detect voice activity and to use the trained machine learning algorithm to isolate or enhance the speech component of the audio data.
摘要翻译： “运行范围归一化”方法包括计算对语音活动检测（VAD）有用的特征值的范围的运行估计，并且通过将它们映射到期望的范围来对特征进行归一化。运行范围归一化包括计算VAD特征的最小值和最大值的运行估计值，并通过将原始范围映射到所需范围来对特征值进行归一化。可选地选择平滑系数来定向地偏置最小值和最大值的运行估计中的至少一个的变化率。归一化VAD特征参数用于训练机器学习算法以检测语音活动，并使用经过训练的机器学习算法来隔离或增强音频数据的语音分量。

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