arXiv (OAI Expanded)
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Exploring the Design Space of Representation Learning for Audio Transformations
Neural audio representation learning has enabled a range of content-oriented applications, but the resulting features remain limited for tasks involving audio processing. Furthermore, it is not obvious what processing-aware representations should capture: the processing itself, abstracted away from
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