International Audio Laboratories Erlangen
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Hendrik Schreiber
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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...