Topic: audio-features Goto Github
Some thing interesting about audio-features
Some thing interesting about audio-features
audio-features,Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
User: alexanderlerch
audio-features,C++ code accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
User: alexanderlerch
Home Page: https://www.AudioContentAnalysis.org
audio-features,Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
User: alexanderlerch
audio-features,Utilizing Information from the Spotify API to create data visualizations using D3.js and Plotly to analyze Spotify stream and track analysis.
User: alexarnold630
audio-features,Estratto is a powerful and user-friendly Rust library designed for extracting rich audio features from digital audio signals.
User: amberjblue
audio-features,Spotify recommendations bot
User: arirawr
Home Page: https://nelson.glitch.me
audio-features,Audio Commons Audio Extractor
Organization: audiocommons
audio-features,shazam like desktop app that you can select mp3 file and recognize the songs that matches the file and list them according to their similarity to the input file
User: badra022
audio-features,Analysis of Spotify's Top Tracks of 2017 in R
User: bchiang7
audio-features,graph audio features of Spotify tracks using the Spotify Web API
User: brooke-white
audio-features,Show trends about your music listening habits over time. Create playlists from a given seed and specified audio features.
User: cheshire137
audio-features,A simple music feature extractor for Deep Learning models
User: dmgutierrez
audio-features,Fast and simple music and audio analysis using RNN in Python π΅οΈββοΈ π₯
User: dodiku
audio-features,Package for automatic beat-mixing of music files in Python π»π
User: dodiku
audio-features,view a song's audio features πΆπ
User: doms
Home Page: https://audio-graphs.vercel.app
audio-features,Audio feature extraction engine based on VAMP plugins
User: emkor
audio-features,Cross platform audio feature extraction and sound classification tool
User: emuell
audio-features,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.
User: etarakci
Home Page: https://music-genre-prediction.herokuapp.com/
audio-features,Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]
User: gcunhase
Home Page: https://www.hindawi.com/journals/mpe/2020/8478527/
audio-features,A Web App For Exploring Spotify Data using GraphQL
User: goldensunliu
audio-features,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.
User: hassanhayat08
audio-features,A server for JAMS data
User: hughrawlinson
audio-features,Feature based synthesis in web audio
User: hughrawlinson
audio-features,Feature Based Audio Synthesis in the Web Audio API
User: hughrawlinson
audio-features,Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects
User: iver56
Home Page: http://iver56.github.io/cross-adaptive-audio/
audio-features,A Shiny App to Retrieve Daily Top 200 Spotify Charts with Audio Features in Real-Time
User: kewkalustian
audio-features,Article repository
User: kewkalustian
audio-features,Performed music data visualization using python-seaborn library and matplotlib library
User: krishnamanmayi
audio-features,Draw insights on Spotify usersβ musical tastes and generate playlists tailored to either a single user or a group of users by analyzing their Top 100 tracks.
User: levinmat
Home Page: https://www.matt-levin.com/PlaylistAnalyzer/
audio-features,A library for audio and music analysis, feature extraction.
Organization: libaudioflux
Home Page: https://audioflux.top
audio-features,Audio feature extraction for JavaScript.
Organization: meyda
Home Page: https://meyda.js.org/
audio-features,This may become an audio feature extraction library for Rust.
Organization: meyda
audio-features,π¦π¦ moosify data analysis
User: momtr
audio-features,This project is designed to analyze Spotify stream history metadata, extract audio features using the Spotify Web API, and generate a personalized playlist based on a trained neural network model.
User: mtas0
audio-features,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.
User: ollie-hooper
Home Page: https://spotifysentiment.ollie-hooper.me/
audio-features,Analysis of the audio features from my weekly top tracks from Spotify using the library Spotipy to support the API extraction
User: pablo-ferro
audio-features,Data analysis on my monthly playlists
User: rileynwong
audio-features,Predict song genre using XGBoost gradient boosting
User: seanhelm
audio-features,:notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch
User: siddgood
audio-features,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.
User: sideeffectdk
audio-features,Spotify music analysis and a new method to recommend music!
User: sumeetksingh
audio-features,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.
User: supriyd
audio-features,Extract frequency, power, width and dissonance of formants from wav files
User: tabahi
audio-features,Python to generate a customized Spotify playlist based on historic user listening data
User: tpoluch
audio-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.
User: v-iashin
Home Page: https://v-iashin.github.io/video_features
audio-features,Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram
User: vbsinha
audio-features,Temporal audio features extraction by Librosa.
User: wxjiao
audio-features,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.
User: ybayle
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