27 research outputs found
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
We introduce Kapre, Keras layers for audio and music signal preprocessing.
Music research using deep neural networks requires a heavy and tedious
preprocessing stage, for which audio processing parameters are often ignored in
parameter optimisation. To solve this problem, Kapre implements time-frequency
conversions, normalisation, and data augmentation as Keras layers. We report
simple benchmark results, showing real-time on-GPU preprocessing adds a
reasonable amount of computation.Comment: ICML 2017 machine learning for music discover