Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
-
Updated
May 7, 2024 - Jupyter Notebook
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Project I carried out during my Machine Learning course in the Master.
Audio feature extraction and classification
Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction
👉 This repository contains basic audio 🔊 processing code with feature extraction explained. 🎶 🎶 🎶
University Course Assignments - Speech Signal Prcessing
Implementação do algoritmo de extração de características em dart.
procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS
SVM model using i-vector
Feature extraction from sound signals along with complete CNN model and evaluations using tensorflow, keras and, librosa for MFCC generation
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
heart disease classifier based on heartbeat audio dataset
Noise classifier based on augmented UrbanSound8K.
A RESTFUL API implementation of an authentification system using voice fingerprint
MFCCs extractor utilizing TarsosDSP library and save the results into .h5 file for further use.
Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI
infrasonic acoustic/ elephant rumble detection using MFCC coefficients
mfcc extractor It is a simple Mel Frequency Cepstrum Coefficient extractor tool.
Add a description, image, and links to the mfcc-extractor topic page so that developers can more easily learn about it.
To associate your repository with the mfcc-extractor topic, visit your repo's landing page and select "manage topics."