audio-features

There are 55 repositories under audio-features topic.

  • audioFlux

    libAudioFlux/audioFlux

    A library for audio and music analysis, feature extraction.

    Language:C3.2k3219145

  • meyda/meyda

    Audio feature extraction for JavaScript.

    Language:TypeScript1.6k24202107

  • v-iashin/video_features

    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.

    Language:Python61468099

  • dodiku/AudioOwl

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

    Language:Python29491320

  • alexanderlerch/pyACA

    Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

    Language:Python17182740

  • dodiku/MixingBear

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

    Language:Python1227510

  • iver56/cross-adaptive-audio

    Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

    Language:Python1011207

  • alexanderlerch/ACA-Code

    Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

    Language:MATLAB86101123

  • alexanderlerch/libACA

    C++ code accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

    Language:C++735267

  • AudioCommons/ac-audio-extractor

    Audio Commons Audio Extractor

    Language:JavaScript57607

  • cheshire137/spotty-features

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

    Language:JavaScript272114

  • tabahi/formantfeatures

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

    Language:Python26204

  • gcunhase/Emotional-Video-to-Audio-with-ANFIS-DeepRNN

    Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

    Language:MATLAB25306

  • rileynwong/spotify-analysis

    Data analysis on my monthly playlists

    Language:Jupyter Notebook25103

  • emuell/AFEC

    Cross platform audio feature extraction and sound classification tool

    Language:C++24304

  • AmberJBlue/estratto

    Estratto is a powerful and user-friendly Rust library designed for extracting rich audio features from digital audio signals.

    Language:Rust23200

  • levinmat/PlaylistAnalyzer

    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.

    Language:Python23125

  • meyda/meyda-rs

    This may become an audio feature extraction library for Rust.

    Language:Rust236103
  • SpotifySentiment

    Ollie-Hooper/SpotifySentiment

    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.

    Language:Python18103

  • siddgood/billboard-hit-prediction

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

    Language:Jupyter Notebook16104

  • vbsinha/Audio-Features

    Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram

    Language:Jupyter Notebook16203

  • arirawr/nelson

    Spotify recommendations bot

    Language:JavaScript15206

  • HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data

    We developed an interpretable CNN for big five personality traits using human speech data. This project discovers the different frequency patterns of a human voice with respect to each five personality traits. This project will help us to understand the apparent personality of a human using his/her voice.

    Language:Python14103

  • goldensunliu/graphql-spotify-example

    A Web App For Exploring Spotify Data using GraphQL

    Language:JavaScript11102

  • sideeffectdk/RT-MIR-OSC

    Audio input -> real-time analysis -> OSC output. Takes in real-time audio, does feature extraction using smart algorithms then sends out OSC to be used in other programs.

    8200

  • bchiang7/spotify-top-tracks-2017

    Analysis of Spotify's Top Tracks of 2017 in R

    Language:HTML5201

  • hughrawlinson/web-audio-feature-based-synthesis

    Feature based synthesis in web audio

    Language:JavaScript530

  • ybayle/SATIN

    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.

    Language:Python5201

  • mbret/Chewie

    The home assistant

    Language:JavaScript4300

  • seanhelm/tuner

    Predict song genre using XGBoost gradient boosting

    Language:Python4100

  • supriyd/music-genre-classification-with-R-using-Backpropagation

    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.

    Language:R3302

  • dmgutierrez/musfeat

    A simple music feature extractor for Deep Learning models

    Language:Python2100

  • emkor/audiopyle

    Audio feature extraction engine based on VAMP plugins

    Language:Python23781

  • etarakci/music-genre-prediction

    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.

    Language:Jupyter Notebook2104

  • tan-hongkai/DecadeTune

    DecadeTune is a machine learning project that classifies songs into decade groups by analyzing audio features and referencing popular hits. This project identifies the distinctive sound signatures that characterize music from various eras, from the 50s-60s to the 2010s-2020s.

    Language:Jupyter Notebook2100

  • TPoluch/Python-Recommended-Spotify-Playlist

    Python to generate a customized Spotify playlist based on historic user listening data

    Language:Python2100