Audio feature extraction for JavaScript.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

Package for automatic beat-mixing of music files in Python 🐻🎚

Show trends about your music listening habits over time. Create playlists from a given seed and specified audio features.

Audio Commons Audio Extractor

This may become an audio feature extraction library for Rust.

A Web App For Exploring Spotify Data using GraphQL

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.

Spotify recommendations bot

Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [Mathematical Problems in Engineering 2020]

Extract features from raw videos using multiple GPUs in parallel

Data analysis on my monthly playlists

🎶 Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch

Feature based synthesis in web audio

Analysis of Spotify's Top Tracks of 2017 in R

The home assistant

Pernahkah terpikirkan bahwa suara khususnya musik dapat diklasifikasikan berdasarkan genrenya. Hal ini dikarenakan setiap musik memiliki audio features yang berbeda sesuai genrenya. Energy, accousticness, danceability, loudness, speechiness, tempo dan valence merupakan audio features yang saya gunakan dalam mengklasifikan genre musik menggunakan Backpropagation.

Code used in the article "SATIN: A Persistent Musical Database for Music Information Retrieval" by Yann Bayle, Pierre Hanna and Matthias Robine in CBMI 2017. SATIN is a MIR dataset for reproducible research.

Predict song genre using XGBoost gradient boosting

Feature Based Audio Synthesis in the Web Audio API

An implementation of a DNN speech recognizer as part of the Udacity NLP NanoDegree program

graph audio features of Spotify tracks using the Spotify Web API

Audio feature extraction engine based on VAMP plugins

MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction

Extract frequency, power, width and dissonance of formants from wav files

A server for JAMS data

Temporal audio features extraction by Librosa.

🦋🦋 moosify data analysis