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Wav2vec2 Base Finetuned Coscan Age Group

Developed by versae
Age group classification model fine-tuned on the COSCAN-speech dataset based on wav2vec2-base, achieving 99.8% accuracy on the validation set
Downloads 34
Release Time : 8/24/2022

Model Overview

This model is designed for voice age group classification tasks, capable of predicting the speaker's age group based on voice characteristics

Model Features

High Accuracy
Achieves 99.8% accuracy on the validation set
Fine-tuned wav2vec2
Utilizes wav2vec2's powerful voice feature extraction capability for transfer learning
Age Group Classification
Specifically designed for classifying speaker age groups

Model Capabilities

Voice Feature Extraction
Age Group Classification
Audio Classification

Use Cases

Voice Analysis
Age Group Identification
Automatically identifies the speaker's age group based on voice
Validation accuracy 99.8%
User Analysis
User Profile Construction
Automatically supplements user age information through voice interaction
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