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AudioLabs is a joint institution of Fraunhofer IIS University Erlangen-Nuremberg

Data/Code

Improving Genre Annotations for the Million Song Dataset

  • Dataset

Genre Ontology Learning: Comparing Curated with Crowd-Sourced Ontologies

  • Datasets

Tempo Estimation

  • Binaries for Exploiting Global Features for Tempo Octave Correction.
  • Binaries for A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning.
  • Code and datasets for A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network.
  • Code for Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters.
  • More...

Key Estimation

  • Code for Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters.
  • More...

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