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Found 3 papers, 2 papers with code
Improving Machine Hearing on Limited Data Sets
In this contribution we investigate how input and target representations interplay with the amount of available training data in a music information retrieval setting.
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?
The theoretical results show that approximately reproducing mel-spectrogram coefficients by applying adaptive filters and subsequent time-averaging is in principle possible.
Gabor frames and deep scattering networks in audio processing
By using a simple signal model for audio signals specific properties of Gabor scattering are studied.
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