Exploring Quality and Generalizability in Parameterized Neural Audio Effects

10 Jun 2020William MitchellScott H. Hawley

Deep neural networks have shown promise for music audio signal processing applications, often surpassing prior approaches, particularly as end-to-end models in the waveform domain. Yet results to date have tended to be constrained by low sample rates, noise, narrow domains of signal types, and/or lack of parameterized controls (i.e. "knobs"), making their suitability for professional audio engineering workflows still lacking... (read more)

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