FMA: A Dataset For Music Analysis
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Updated
Jan 5, 2023 - Jupyter Notebook
FMA: A Dataset For Music Analysis
A library for audio and music analysis, feature extraction.
A python program for repeating music endlessly and creating seamless music loops, with play/export/tagging support.
🎼 HTML5/WebAudio multi-track songwriting app with chord analysis support! -- https://hlorenzi.github.io/theorytracker/
Music analytics notebooks + future generative sounds techniques using ML
Amazingly simple Fourier transform library for Java
R package: tabr. Notation-based and tidy music data analysis and transcription.
Uma associação de como o rock foi se modificando desde a década de 50 até os dias de hoje e como isso pode ser observado na prática nas músicas presentes na minha playlist de rock do Spotify, chamada "For Those About To Rock"
Music genre classification model using CRNN
Structures for the creation, analysis, and performance of music in Swift
Structures for describing music notational elements
A beets plugin for obsessive-compulsive music geeks to add BPM information to their songs.
Uses frequency analysis of audio to perform pitch detection and predict musical elements.
A beets plugin for obsessive-compulsive music geeks to add low and high level musical information to their songs.
A GUI for graphical analysis and annotation of video and audio files.
An emotional indicator to music
An (optimized) implementation of the music DR measurement (compliant with http://dr.loudness-war.info/), it supports CUE sheets and is faster than all currently available alternatives (at the time of writing, not sure about now)
Data Engineering Project: Extracting music video metrics of Twice using YouTube API, AWS, and Tableau
Audio Analytics Dashboard that provides insights and eliminates tedious tasks in the music production workflow [Plotly, Streamlit, Librosa, Essentia]
Trend analysis of pop music and prediction of release year.
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