Audio feature extraction for JavaScript.
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Updated
May 31, 2024 - TypeScript
Audio feature extraction for JavaScript.
A library for audio and music analysis, feature extraction.
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
Fast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
Package for automatic beat-mixing of music files in Python 🐻🎚
Audio Commons Audio Extractor
Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]
Spotify recommendations bot
Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects
Machine Learning and NLP was used to predict a song's genre based off its audio features and lyrics respectively. Users can test the models with lyrics they paste in onto our website.
Extract frequency, power, width and dissonance of formants from wav files
🎶 Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch
Cross platform audio feature extraction and sound classification tool
Draw insights on Spotify users’ musical tastes and generate playlists tailored to either a single user or a group of users by analyzing their Top 100 tracks.
C++ code accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
Show trends about your music listening habits over time. Create playlists from a given seed and specified audio features.
This may become an audio feature extraction library for Rust.
The aim of this project is to map and analyse the sentiments of different countries based on their music tastes over time. The data is presented in a web app coded in Python using the Plotly Dash package.
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