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Wav2vec2 Audio Emotion Classification
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Wav2vec2 Audio Emotion Classification
Developed by dhanush23
A fine-tuned audio emotion classification model based on facebook/wav2vec2-base for analyzing emotional states in speech
Downloads 15
Release Time : 11/2/2023
Model Overview
This model is a variant based on the wav2vec2 architecture, specifically designed to recognize and classify emotional states from audio signals. Suitable for tasks such as speech emotion analysis.
Model Features
Based on wav2vec2 Architecture
Utilizes the proven wav2vec2-base architecture with excellent speech feature extraction capabilities
Emotion Classification Capability
Fine-tuned specifically for speech emotion recognition tasks
Efficient Training
Trained with reasonable hyperparameter configurations and optimizer settings
Model Capabilities
Speech Emotion Recognition
Audio Feature Extraction
Emotional State Classification
Use Cases
Mental Health Analysis
Psychological Counseling Assistance
Assists in psychological counseling by analyzing the emotional state of patients' speech
Customer Service
Customer Service Quality Monitoring
Analyzes emotional states in customer service calls to assess service quality
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