Apple Inc.
DNN BASED PROCESSOR FOR SPEECH RECOGNITION AND DETECTION

Abstract:

Audio signals produced by microphones can be processed to remove echo and reverberation. The processed signals can be mapped to each other with adaptively estimated impulse responses. One or more of the processed signals, one or more of the mapped signals, and one or more of the impulse responses can be fed to an automatic speech recognizer (ASR) having a deep neural network (DNN), to train the DNN or recognize speech in the input audio signals. Other aspects are described and claimed.