2023
A Content Adaptive Learnable "Time-Frequency" Representation for audio Signal Processing
ICASSP 2023accepted
We propose a learnable content adaptive front end for audio signal processing. Before the modern advent of deep learning, we used fixed representation non-learnable front-ends like spectrogram or mel-spectrogram with/without neural architectures. With convolutional architectures supporting various a…