Wav2vec2 Large Xlsr 53 English Finetuned Ravdess
A speech emotion recognition model fine-tuned on the RAVDESS dataset based on the wav2vec2-large-xlsr-53-english model
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Release Time : 1/30/2024
Model Overview
This model is a deep learning model optimized for English speech emotion recognition tasks, capable of identifying emotional categories in speech.
Model Features
High Accuracy Emotion Recognition
Achieves 82.99% accuracy on the RAVDESS dataset
Fine-tuned Based on Pre-trained Model
Utilizes transfer learning with the wav2vec2-large-xlsr-53-english pre-trained model
Multi-metric Evaluation
Provides multi-dimensional performance evaluation including accuracy, precision, recall, and F1 score
Model Capabilities
Speech Emotion Classification
English Speech Analysis
Audio Feature Extraction
Use Cases
Affective Computing
Speech Emotion Analysis
Analyze emotional states in speech recordings
Can identify multiple emotional categories
Human-Computer Interaction
Intelligent Customer Service Emotion Recognition
Identify emotional states in customer speech
Helps customer service systems provide more human-like responses
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