List of articles related to deep learning applied to music
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Oct 31, 2019 - 173 commits
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List of articles related to deep learning applied to music
FMA: A Dataset For Music Analysis
Instructional notebooks on music information retrieval.
Hello,
I have a general question about the returned values from loudness. I used a commercially released song, Counting Stars by OneRepublic to analyze the loudness of each band and I was getting results greater than 1. Example:
{
"specific": {
"0": 4.282933235168457,
"1": 4.5460286140441895,
"2": 3.7146832942962646,
"3": 3.034522771835327,
"4"
https://www.python.org/dev/peps/pep-0257/ lists some conventions how dostrings should be formatted. Most of the docstrings are compatible already, some are not.
Some are descriptive which violate the rule that a docstring should prescribe the function or method's effect as a command "Do this", "Return that", instead of "Returns the pathname ...".
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
A C++ Library for Audio Analysis
R wrapper for Spotify's Web API
DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
The code for the MaD TwinNet. Demo page:
Collection of datasets used for Optical Music Recognition
A Machine Learning Approach of Thayers Emotional Model to Plot a 2D Cartesian and Polar Planes using x-axis as Valence and y-axis as Arousal
Easily access song lyrics from Genius in a tibble. Formerly genisuR.
Metadata, scripts and baselines for the MTG-Jamendo dataset
:musical_keyboard: symbolic musical datasets
Turkish Makam Music Symbolic Data Collection
Automatic Music Genre Classification with Machine Learning Techniques
Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201 - Computational Music Analysis. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012
Music genre classification model using CRNN
Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook
:headphones: lead sheet datasets in various formats
Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".
The source code of "A Streamlined Encoder/Decoder Architecture for Melody Extraction"
Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"
As we've added lots of new algorithms, we should update the short introductory algorithms overview page accordingly.