Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Human Emotion Understanding using multimodal dataset.

ADHD_Recognition with personal voice

Predictive modeling of users' interpersonal characteristics by the sound of their voices and manner of speaking.

CNN for language-independent emotion prediction on a dataset of English and French speech samples.

Visual Studio Code extension that adds syntax highlighting, diagnostics and IntelliSense features for openSMILE configuration files

speech emotion recognition, augmentation

Script to extract acoustic features from speech using OpenSmile toolkit.

acoustic low-level descriptors (LLD) feature extraction via the opensmile software

A stand-alone OpenSmile plugin for the Cordova framework.

Codes for extracting features of IEMOCAP with Open Smile tool kit

This is a project dedicated to the classification of emotional speech and was created in class with Prof. Dr. Burkhardt at Technische Universität Berlin.

A comprehensive framework for detecting hate speech in the low-resource Telugu language using multimodal (audio and text) analysis

Digit Recogniser step by step.

Code for "Do CEO Voices Move Markets?" — vocal stress and analyst tone in earnings calls as predictors of high-frequency order flow. Princeton ORF Senior Thesis (2026).

Research project analyzing the impact of audio features on Spotify podcast performance.

This repository contains an emotion recognition system developed on 2,300+ WAV files using acoustic feature extraction and machine learning techniques.

AI-powered voice analysis system for pediatric speech and developmental screening using OpenSMILE, prosody analysis, and speaker diarization

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