Wavlm Large Finetuned SER
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Wavlm Large Finetuned SER
Developed by JBJoyce
A speech emotion recognition model based on WavLM-Large, supporting English speech emotion classification.
Downloads 139
Release Time : 11/2/2024
Model Overview
This model is fine-tuned from microsoft/wavlm-large, focusing on Speech Emotion Recognition (SER) tasks, capable of identifying emotional categories in speech.
Model Features
Based on WavLM-Large
Utilizes the powerful WavLM-Large architecture for speech feature extraction, improving emotion recognition accuracy.
Multi-emotion Classification
Capable of recognizing multiple speech emotion categories, suitable for complex scenarios.
English Speech Support
Specifically optimized for English speech, ideal for emotion analysis in English environments.
Model Capabilities
Speech Emotion Classification
English Speech Processing
Real-time Emotion Recognition
Use Cases
Emotion Analysis
Customer Service Emotion Monitoring
Analyze customer emotions in service calls to improve service quality.
Can identify customer satisfaction in real-time
Mental Health Assessment
Assist in mental health status evaluation through speech emotion analysis.
Provides emotional state indicators
Human-Computer Interaction
Smart Assistant Emotion Response
Enable smart assistants to adjust responses based on user speech emotions.
Enhances interaction naturalness
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