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Deep Learning for audio and text
Dataset and evaluation script for music genre classification using textual, semantic, sentiment and acoustic features
Framework to homogenize and combine the output of different entity linking tools, using the level of agreement as a confidence score
Relation Extraction pipeline for the automatic construction of Knowledge Bases from music-related texts
Forked from MTG/essentia
C++ library of algorithms to extract features from audio files, including Python bindings.