The wav2vec2-base-gender-classification open-source voice gender classification model - The accuracy on the evaluation set is nearly 99%

Wav2vec2 Base Gender Classification

Developed by 7wolf

A fine-tuned voice gender classification model based on facebook/wav2vec2-base, achieving 98.92% accuracy on the evaluation set

Audio Classification

Transformers

Open Source License:Apache-2.0 #Voice Gender Classification #High Accuracy #Fine-tuned wav2vec2

Downloads 14

Release Time : 2/19/2024

Model Overview

This model is a fine-tuned wav2vec2 model for voice gender classification tasks, suitable for applications that identify speaker gender from voice

Model Features

High Accuracy

Achieves 98.92% classification accuracy on the evaluation set

Based on wav2vec2

Utilizes the powerful audio feature extraction capability of wav2vec2

Lightweight

Based on the wav2vec2-base version, relatively lightweight

Model Capabilities

Voice Classification

Gender Recognition

Audio Feature Extraction

Use Cases

Voice Analysis

Speaker Gender Recognition

Identify the speaker's gender from voice clips

98.92% accuracy

Voice Data Preprocessing

Voice Data Classification

Preprocess voice datasets by gender classification

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1586	1.0	87	0.1227	0.9720
0.1048	1.99	174	0.1123	0.9717
0.0975	2.99	261	0.1082	0.9738
0.0629	4.0	349	0.0857	0.9813
0.0449	5.0	436	0.0555	0.9878
0.0279	5.98	522	0.0438	0.9892

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Wav2vec2 Base Gender Classification

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-base-gender-classification

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License