公开(公告)号：US20180240472A1

公开(公告)日：2018-08-23

申请号：US15960140

申请日：2018-04-23

Applicant: Cirrus Logic, Inc.

Inventor： Earl Vickers ,  Fredrick D. Geiger ,  Erik Sherwood

IPC: G10L21/0264 ,  G10L25/60 ,  G10L21/0224 ,  G10L25/84 ,  G10L25/78 ,  G10L25/30 ,  G10L15/06

CPC classification number: G10L21/0264 ,  G10L21/0224 ,  G10L25/30 ,  G10L25/60 ,  G10L25/78 ,  G10L25/84 ,  G10L2015/0636

Abstract: 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.

公开(公告)号：US09953661B2

公开(公告)日：2018-04-24

申请号：US14866824

申请日：2015-09-25

Applicant: Cirrus Logic Inc.

Inventor： Earl Vickers

IPC: G10L21/02 ,  G10L21/0264 ,  G10L21/0224 ,  G10L25/60 ,  G10L25/84 ,  G10L25/78 ,  G10L25/30 ,  G10L15/06

CPC classification number: G10L21/0264 ,  G10L21/0224 ,  G10L25/30 ,  G10L25/60 ,  G10L25/78 ,  G10L25/84 ,  G10L2015/0636

Abstract: 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.