audio-feature-extraction
There are 6 repositories under audio-feature-extraction topic.
- Language:C++ 20
mikex86 / SonopyJava
Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI
Language:Java 12miselaytes-anton / whospeaks
Speaker recognition using Mel Frequency Cepstral Coefficients (MFCC) and Linde-Buzo-Gray (LBG) clustering algorithm
Language:JavaScript 8sideeffectdk / 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.
gitmehrdad / FACE
Urban Sound Annotation and Classification
Language:Jupyter Notebook 5hughrawlinson / feature-synthesis
Tooling and datasets for neural-network powered audio feature based synthesis
Language:Python 4OrderAndCh4oS / analyse-audio-python
Scratch for experimenting with audio feature extraction.
Language:Jupyter Notebook 4Metiu-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 3Various Neural Network Architectures for Supervised Tonic classification using the mridangam_stroke dataset, and supervised instrument classification on the TinySOL dataset.
Language:Jupyter Notebook 3sandcobainer / drum-sample-clustering
Drum Samples Clustering, Audio feature extraction and clustering audio files using data visualization and dimensionality reduction (PCA).
Language:Max 3- Volume-Suggester
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 2 atharv-naik / whale-call-classification
Trained a CNN model to classify whale calls into an A-call or not
Language:Jupyter Notebook 2gonza0305 / Speaker-identification-using-GMM
Text-independent speaker identification system based on GMM
Language:Jupyter Notebook 2join2AJ / AudioInspect
AudioInspect is an app that extracts audio features from uploaded audio files or audio files in a specified folder, providing insights into the characteristics of the audio.
Language:Python 2abdoulsn / music_gender_recognition
GTZAN Music genre classification using Logistic regression and SVM.
Language:Jupyter Notebook 1ABSounds / AudioFeatureBasedPlaylists
Generation of music playlists based on audio features analysis using Essentia and the MusAV dataset
Language:Jupyter Notebook 1AvichalS / Speech-Emotion-Recognition
Developed a deep learning model using Multi-Layer Perceptron to recognize and classify speech signals into 6 distinct emotions. Extracted 160 audio features, enabling the model to detect emotions with around 75% accuracy on the training set. Implemented the model on a Streamlit dashboard.
Language:Python 1dmgutierrez / musfeat
A simple music feature extractor for Deep Learning models
Language:Python 1drumni / wave-lib
A library that loads recordbox xml files and classifies other files based on data learned from existing entries based on a neural network.
Language:Rust 1An Object Oriented framework for easy feature logging on ChucK systems
Language:ChucKHaskell and I are giving it another go.
Language:HaskellNode changed their float implementation and broke Meyda. This was a repro
Language:JavaScriptA server to host JAMS audio feature extraction data
Language:JavaScriptHigh level audio features for Javascript
