2022
End-to-End Keyword Spotting Using Neural Architecture Search and Quantization
ICASSP 2022accepted
This paper introduces neural architecture search (NAS) for the automatic discovery of end-to-end keyword spotting (KWS) models for limited resource environments. We employ a differentiable NAS approach to optimize the structure of convolutional neural networks (CNNs) operating on raw audio waveforms…