Speech Emotion Recognition

EmoTa is an open-access Tamil Speech Emotion Recognition dataset with 936 utterances from 22 native speakers, covering five emotions (anger, happiness, sadness, fear, and neutrality). It supports emotion classification tasks and advances Tamil language processing.

Code for the paper "Real Time Speech Emotion Recognition using Machine Learning"

This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.

Backend project to replicate a Kanban Board (like Trello or Jira). Implemented with Springboot, jOOQ and MySQL.

Highly experimental code for planetary image stacking with OpenCV

Speech Emotion Recognition (SER) - Project aim to recognize emotion through speech. Databases used - Ravdess,Tess & Savee. Feature Extractor used - MFCC, STFT & Chroma, with three different extractor able to recognize emotion with high accuracy.

Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.

For Korean speech emotion detect, this model is trained by Korean dataset. There is no enough Korean dataset, so i tried to make this repo.

En kuriøs kumulation af klub 100 scripts.

An extensive collection of Speech Emotion Recognition (SER) datasets across multiple languages, including English, Mandarin, Hindi, Spanish, Tamil, Arabic, and more. Perfect for training emotion detection models in diverse linguistic and cultural contexts.

A deep learning-based Speech Emotion Recognition (SER) model trained primarily on Indian languages. Designed for applications in call centers, sentiment analysis, and accessibility tools.

Implementation of a Persian Speech Emotion Recognition system with SVM model, based on the ShEMO paper

A speech emotion recognition (SER) system that won 1st place in a competition for a deep learning master-course. It uses a parallel CNN built using Keras and Tensorflow.

A deep learning solution using Convolutional Neural Networks and Wavelet Transform to tackle the Speech Emotion Recognition task.

Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models | Submission to GenSEC Task 3 (LLM-Based Post ASR Speech Emotion Recognition Challenge)

search google test

O projeto SerDigital é um repositório no GitHub dedicado a uma landing page moderna e atraente que promove o conceito de transformação digital. O objetivo deste projeto é criar uma página de destino que apresente informações sobre os benefícios da transformação digital e como ela pode impactar positivamente os negócios.

Serverside Active Directory authentication boilerplate user express and LDAP

A small math library in SSE4 and upper written in C++