Presentation: Deep Learning with Audio Signals: Prepare, Process, Design, Expect
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Abstract
Is deep learning Alchemy? No! But it heavily relies on tips and tricks, a set of common wisdom that probably works for similar problems. In this talk, I’ll introduce what the audio/music research societies have discovered while playing with deep learning when it comes to audio classification and regression -- how to prepare the audio data and preprocess them, how to design the networks (or choose which one to steal from), and what we can expect as a result.
2019 Tracks
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Predictive Architectures in the Real World
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Predictive Data Pipelines & Architectures
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Half-day tracks
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