Iewav2vec2 Finetuned On Shemo
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Iewav2vec2 Finetuned On Shemo
Developed by minoosh
This model is a fine-tuned version of minoosh/wav2vec2-base-finetuned-ie on the shEMO dataset, primarily used for speech emotion recognition tasks.
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Release Time : 4/26/2023
Model Overview
This is a speech emotion recognition model based on the wav2vec2 architecture, fine-tuned on the shEMO dataset, capable of identifying emotional features in speech.
Model Features
High Accuracy
Achieved an accuracy of 82% on the evaluation set, demonstrating excellent performance.
Based on wav2vec2 Architecture
Utilizes the powerful speech feature extraction capabilities of wav2vec2 for emotion recognition.
Fine-tuned
Underwent 20 epochs of fine-tuning on the shEMO dataset, optimizing model performance.
Model Capabilities
Speech Emotion Recognition
Speech Feature Extraction
Use Cases
Sentiment Analysis
Customer Service Emotion Analysis
Analyze customer emotional states in service calls
Helps improve service quality
Mental Health Assessment
Evaluate speaker's emotional state through voice analysis
Assists in mental health diagnosis
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