aaivu/KuralNet
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.
This tool helps businesses understand the emotional tone of speech, particularly in Indian languages. It takes audio recordings of customer interactions or spoken language and identifies emotions like happiness, sadness, or anger. Call center managers, customer experience analysts, and product teams building accessibility features can use this to gauge customer sentiment and improve service.
No commits in the last 6 months.
Use this if you need to automatically detect emotions from spoken language, especially in South Indian languages, for applications like call center analytics or sentiment monitoring.
Not ideal if your primary need is for emotion detection in exclusively non-Indian languages or if you require a simple, out-of-the-box application rather than an integration-ready model.
Stars
8
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/aaivu/KuralNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
salute-developers/GigaAM
Foundational Model for Speech Recognition Tasks
SuyashMore/MevonAI-Speech-Emotion-Recognition
Identify the emotion of multiple speakers in an Audio Segment
NotAbhinavGamerz/emotion-aware-automatic-speech-recognition
🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's...
jsugg/ser
The AI-powered ser Python package is a tool for recognizing and analyzing emotions in speech....
saky-semicolon/Emotion-Aware-AI-Support-System
A smart AI-powered platform that detects emotions from student voice input, classifies their...