audio-feature-extraction | Topic

Topic: "audio-feature-extraction"

emuell/AFEC

Cross platform audio feature extraction and sound classification tool

Language: C++ - Size: 128 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 4

gitmehrdad/FACE

Urban Sound Annotation and Classification

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 4

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.

Size: 19.5 KB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 0

mikex86/SonopyJava

Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI

Language: Java - Size: 78.1 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1

miselaytes-anton/whospeaks

Speaker recognition using Mel Frequency Cepstral Coefficients (MFCC) and Linde-Buzo-Gray (LBG) clustering algorithm

Language: JavaScript - Size: 28.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 3

OrderAndCh4oS/analyse-audio-python

Scratch for experimenting with audio feature extraction.

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

hughrawlinson/feature-synthesis 📦

Tooling and datasets for neural-network powered audio feature based synthesis

Language: Python - Size: 42.9 MB - Last synced at: about 1 year ago - Pushed at: over 9 years ago - Stars: 4 - Forks: 1

TuneSpy is a Python application that allows users to load audio files, generate spectrograms, extract MFCC features, and compare the loaded audio with a preprocessed database of songs to find the most similar match.

Language: Python - Size: 43.4 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 2

atharv-naik/whale-call-classification

A CNN model for classifying whale calls

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

Metiu-Metiu/High-level-timbral-features-extractor

Convolutional-based supervised regression task for extracting high level timbral features from drums sound files, useful to condition a real time Neural Sound Synthesiser on continuous intuitive controls.

Language: Jupyter Notebook - Size: 6.82 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

akash-rajak/Volume-Suggester

Python Script to suggest the volume at which the music audio file needs to be played for better experience and feeling.

Language: Python - Size: 169 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

gonza0305/Speaker-identification-using-GMM

Text-independent speaker identification system based on GMM

Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

AhmedAmgadElsharkawy/Audio-Fingerprinting

Fingerprint-based music and vocals identification app that generates spectrograms, extracts features, applies perceptual hashing, and finds the most similar songs based on fingerprint matching.

Language: Python - Size: 33.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

DRUMNICORN/Twenor

Twenor is a conceptual platform designed to assist artists with advanced tools for audio classification, cover art creation, and music management. Envisioned to integrate neural network-based classification, customizable cover art design, and Recordbox XML support, Twenor aims to streamline and enhance the music production workflow—all for free.

Language: Jupyter Notebook - Size: 58.1 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

AlexN1ght/Acoustic-Keylogger

Tools for unsupervised acoustic keyboard attack a.k.a. Unsupervised Acoustic Keylogger

Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sandcobainer/drum-sample-clustering

Drum Samples Clustering, Audio feature extraction and clustering audio files using data visualization and dimensionality reduction (PCA).

Language: Max - Size: 273 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 4

abdoulsn/music_gender_recognition

GTZAN Music genre classification using Logistic regression and SVM.

Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: about 12 hours ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Arindam-GitH/Music-Mood-Classification-Project

An intelligent music mood analyzer that decodes the emotional essence of songs through advanced machine learning. By analyzing six key audio features, this system achieves remarkable 95%+ accuracy in classifying music into four distinct emotional categories. Perfect for creating emotionally intelligent playlists, music recommendation systems.

Language: Python - Size: 7.81 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0