Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs

Given the recent advances in the design of efficient Deep Neural Networks (DNN) for tiny edge devices, the feature extraction frontend has become a computation bottleneck for enabling audio processing on low-end MicroController Units (MCUs). To address this challenge, this work presents novel hardware-aware integer quantization schemes for the MelFrequency Cepstral Coefficients (MFCC) feature extr...