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Wav2vec2 Lg Xlsr En Speech Emotion Recognition Finetuned Ravdess V8

Developed by Wiam
English speech emotion recognition model based on wav2vec2 architecture, fine-tuned on the RAVDESS dataset
Downloads 94
Release Time : 8/31/2023

Model Overview

This model is a speech emotion recognition model based on the wav2vec2-large-xlsr-53 architecture, specifically fine-tuned for English speech emotion analysis tasks.

Model Features

High Accuracy
Achieves 75% accuracy on the evaluation set
Based on Pre-trained Model
Fine-tuned on the powerful wav2vec2-large-xlsr-53 pre-trained model
Lightweight Fine-tuning
Requires only a small amount of training data to achieve good performance

Model Capabilities

English Speech Emotion Recognition
Speech Feature Extraction
Emotion Classification

Use Cases

Human-Computer Interaction
Customer Service System Emotion Analysis
Analyze emotional states in customer speech
Can identify emotional states such as anger and happiness
Mental Health
Emotional State Monitoring
Analyze user emotional changes through speech
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