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Whisper Tiny Bn Emo

Developed by shhossain
An emotion classification model fine-tuned based on shhossain/whisper-tiny-bn, capable of recognizing 7 basic emotions in Bengali
Downloads 20
Release Time : 9/24/2023

Model Overview

This model is specifically designed for Bengali audio emotion classification tasks, capable of identifying 7 emotions: anger, disgust, fear, happiness, calmness, sadness, and surprise.

Model Features

High Accuracy
Achieves 93.57% accuracy on the evaluation set
Multi-Emotion Recognition
Capable of recognizing 7 basic human emotions
Lightweight
Based on whisper-tiny architecture, suitable for resource-constrained environments

Model Capabilities

Audio Emotion Classification
Bengali Speech Analysis
Emotion Recognition

Use Cases

Sentiment Analysis
Customer Service Call Analysis
Analyze customer emotions in service calls
Helps improve customer service experience
Mental Health Monitoring
Monitor user emotional states through voice analysis
Assists in mental health assessment
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