Audio feature extraction and classification

A RESTFUL API implementation of an authentification system using voice fingerprint

Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI

An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm

Feature extraction from sound signals along with complete CNN model and evaluations using tensorflow, keras and, librosa for MFCC generation

Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents

👉 This repository contains basic audio 🔊 processing code with feature extraction explained. 🎶 🎶 🎶

Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction

Noise classifier based on augmented UrbanSound8K.

Implementação do algoritmo de extração de características em dart.

infrasonic acoustic/ elephant rumble detection using MFCC coefficients

Project I carried out during my Machine Learning course in the Master.

SVM model using i-vector

University Course Assignments - Speech Signal Prcessing

mfcc extractor It is a simple Mel Frequency Cepstrum Coefficient extractor tool.

procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS

MFCCs extractor utilizing TarsosDSP library and save the results into .h5 file for further use.

heart disease classifier based on heartbeat audio dataset