ser

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.

CMT-Net: A Collaborative Mamba-Transformer Network with Spatial-Temporal Cross-Fusion for Speech Emotion Recognition

En kuriøs kumulation af klub 100 scripts.

Speech emotion recognition (SER) datasets for 70 languages and a benchmark of 11 speech models (HuBERT, wav2vec 2.0, WavLM, Whisper) in 29 languages. Interspeech 2026.

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

Multi-Objective Multi-Agent RL with non-linear utility functions

SER for Persian and English speech using whisper representations and attentive pooling methods

Open-source lucky imaging suite for planetary, lunar & solar astrophotography. Preprocess (PIPP-style), stack & wavelet-sharpen seeing-limited video into sharp images. Cross-platform Python, GPU-accelerated on Apple Silicon.

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)

Code for the paper: "Dynamic Speech Emotion Recognition using a Conditional Neural Process" by Martinez-Lucas and Busso.

从入门到进阶的语音情感识别 (Speech-Emotion-Recognition，SER) 学习资源与通用工具包。

An open-source AI model that accurately detects emotions (Positive, Neutral, Negative) from speech, designed for real-world robustness.

This repository contains a complete machine learning pipeline for Speech Emotion Recognition (SER) using Deep Neural Networks (DNNs).

SER Viewer - a player for the SER astronomy video format, with FITS export. macOS and Windows.

This project aims to perform Emotion Recognition in Speech using Deep Neural Networks (DNNs)