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Source Coding of Audio Signals with a Generative Model

Citation Author(s):
Roy Fejgin, Janusz Klejsa, Lars Villemoes, Cong Zhou
Submitted by:
Roy Fejgin
Last updated:
27 May 2020 - 2:04pm
Document Type:
Presentation Slides
Document Year:
Event:
Presenters Name:
Roy Fejgin
Paper Code:
AUD-P2.3
Categories:

Abstract 

Abstract: 

These are the slides from the video presentation at ICASSP 2020 of the paper "Source Coding of Audio Signals with a Generative Model".

Paper abstract:
We consider source coding of audio signals with the help of a generative model. We use a construction where a waveform is first quantized, yielding a finite bitrate representation. The waveform is then reconstructed by random sampling from a model conditioned on the quantized waveform. The proposed coding scheme is theoretically
analyzed. Using SampleRNN as the generative model, we demonstrate that the proposed coding structure provides performance competitive with state-of-the-art source coding tools for specific categories of audio signals.

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Dataset Files

SourceCodingAudioSignalsGenerativeModel-ICASSP2020.pdf

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