Sonos, Inc.
MEMORY ALLOCATION FOR KEYWORD SPOTTING ENGINES

Abstract:

Network microphone devices configured to detect keywords can include microphones for capturing sound samples. Features can be extracted from the sound samples by storing the sound samples in a first portion of a dynamic-access memory block, performing first computations based on spectral coefficients of the sound samples using a second portion of the memory block, and storing results of the first computations as extracted features in a third portion of the memory block. The second and third portions of the memory block can be designated as temporary memory. The extracted features are then processed using a neural network by storing the extracted features in a fourth portion of the memory block, performing second computations on the extracted features using the temporary memory, the second computations comprising computing at least one layer of the neural network, and storing an output of the neural network as a classification in the temporary memory.