iewav2vec2-finetuned-on-shEMO Open-source Model - Free Deployment for Precise Speech Emotion Recognition

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.

Audio Classification

Transformers

Open Source License:Apache-2.0 #Speech Emotion Recognition #High Accuracy #wav2vec2 Fine-tuning

Downloads 20

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

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0779	1.0	75	0.9736	0.7133
0.7753	2.0	150	0.7869	0.7467
0.5784	3.0	225	0.6579	0.7867
0.5088	4.0	300	0.6393	0.7933
0.4454	5.0	375	0.6090	0.83
0.3197	6.0	450	0.7735	0.8067
0.235	7.0	525	0.6943	0.8333
0.1648	8.0	600	0.6958	0.8367
0.1016	9.0	675	0.7437	0.8333
0.0822	10.0	750	0.6435	0.8467
0.1434	11.0	825	0.6448	0.86
0.0748	12.0	900	0.7208	0.86
0.0403	13.0	975	0.6549	0.8733
0.0365	14.0	1050	0.7136	0.8667
0.0249	15.0	1125	0.6958	0.87
0.0462	16.0	1200	0.8340	0.8533
0.0061	17.0	1275	0.8503	0.84
0.0257	18.0	1350	0.9144	0.85
0.0262	19.0	1425	0.8671	0.8567
0.005	20.0	1500	0.8572	0.8567

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Iewav2vec2 Finetuned On Shemo

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 iewav2vec2-finetuned-on-shEMO

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

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