34 citations · 44 across the 7 of their papers we have counts for
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cs.SD2019★ 1 cited
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
Prateek Verma, Jonathan Berger
We present a framework to model the perceived quality of audio signals by combining convolutional architectures, with ideas from classical signal processing, and describe an approa…
cs.SD2019★ 9 cited
Neuralogram: A Deep Neural Network Based Representation for Audio Signals
Prateek Verma, Chris Chafe, Jonathan Berger
We propose the Neuralogram -- a deep neural network based representation for understanding audio signals which, as the name suggests, transforms an audio signal to a dense, compact…