Enabling low-power industrial wireless sensors with deep learning capabilities for audio and voice

We will provide an understanding of how TI helps the next generation industrial end-device sensors with identification and classification of audio signatures. This session will go through the system approach to show possible audio Analog Front End (AFE) uses with signal chain, codecs, or a DSP with single or multiple microphones. We will describe how multiple AFEs interface to the wireless MCU devices using wireless protocols & deep neural network (DNN) algorithm for low power sensor networks.