MFCC Implementatin in Go

Stress detection using non-semantic speech representation

Automatic Speech Recognition for Chhattisgarhi

다양한 feature를 이용한 음성인식 LAS model입니다. (한국어는 개발예정)

Comparison of multimodal models for Emotion Detection on IEMOCAP

Building a speaker identification & verification pipeline for Vietnamese voices 😪

Library to extract MFCC features from audio signal

Instrument recognition with MFCC for Sound and Music Signal Analysis Exam

Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models

Speech processing: Vowel classifier based on formants and MFCC.

Implementação do algoritmo de extração de características em dart.

Emotion Recognition in Speech: This project leverages advanced machine learning techniques to classify emotions from speech using the Toronto Emotional Speech Set (TESS). By extracting Mel-Frequency Cepstral Coefficients (MFCC) and utilizing an LSTM-based deep learning model, the project accurately identifies emotions like anger, happiness, and sad

This is a prototype Django application that allows users to upload audio files and classify them using machine learning techniques.

TP2 Métodos Numéricos Avanzados 2C 2014

MFCC Feature Extraction In Matlab

Verification using voice biometrics

MATLAB code for audio signal processing, emphasizing Real Cepstrum and MFCC feature extraction. Reads a wave file, applies Hamming and Rectangular windows, then computes Real Cepstrum. Utilizes MATLAB's built-in functions for extracting MFCC features. Perfect for audio analysis and feature engineering.