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Wav2vec2 Large Robust 6 Ft Age Gender Finetuned Gtzan
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Wav2vec2 Large Robust 6 Ft Age Gender Finetuned Gtzan

Developed by languageresearch
An audio classification model based on the wav2vec2 architecture, fine-tuned on the privateSLI dataset for age and gender recognition tasks
Audio Classification
Transformers
#High-precision audio classification#Age and gender recognition#Speech feature analysis
Downloads 15
Release Time : 9/20/2023

Model Overview

This model is a fine-tuned version of audeering/wav2vec2-large-robust-6-ft-age-gender on the privateSLI dataset, primarily used for audio classification tasks, specifically age and gender recognition.

Model Features

High accuracy
Achieves 98.32% accuracy on the evaluation set
Robustness
Based on the robust version architecture, better adapted to noisy environments
Domain-specific fine-tuning
Targeted fine-tuning on the privateSLI dataset

Model Capabilities

Audio classification
Age recognition
Gender recognition

Use Cases

Demographic analysis
Speech sample analysis
Analyze the age and gender characteristics of speakers through speech samples
98.32% accuracy
Market research
Consumer profiling
Analyze consumer demographic characteristics through voice interactions
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