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公开(公告)号:US20210110813A1
公开(公告)日:2021-04-15
申请号:US17066210
申请日:2020-10-08
发明人: Elie KHOURY , Ganesh SIVARAMAN , Tianxiang CHEN , Amruta VIDWANS
摘要: Described herein are systems and methods for improved audio analysis using a computer-executed neural network having one or more in-network data augmentation layers. The systems described herein help ease or avoid unwanted strain on computing resources by employing the data augmentation techniques within the layers of the neural network. The in-network data augmentation layers will produce various types of simulated audio data when the computer applies the neural network on an inputted audio signal during a training phase, enrollment phase, and/or testing phase. Subsequent layers of the neural network (e.g., convolutional layer, pooling layer, data augmentation layer) ingest the simulated audio data and the inputted audio signal and perform various operations.