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Wav2vec2 Xls R 300m Adult Child Cls
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Wav2vec2 Xls R 300m Adult Child Cls

Developed by anantoj
A fine-tuned adult-child voice classification model based on facebook/wav2vec2-xls-r-300m, achieving 94.04% accuracy
Audio Classification
Transformers
Open Source License:Apache-2.0#Voice Classification#High Accuracy#Adult-Child Recognition
Downloads 48
Release Time : 3/2/2022

Model Overview

This model is designed to distinguish between adult and child voices, fine-tuned on the wav2vec2-xls-r-300m architecture, suitable for voice classification tasks

Model Features

High Accuracy
Achieves 94.04% accuracy and 94.40% F1 score on the evaluation dataset
Fine-tuned on Pre-trained Model
Fine-tuned on the facebook/wav2vec2-xls-r-300m pre-trained model, delivering excellent performance
Lightweight
Model size of 300M parameters, relatively lightweight

Model Capabilities

Voice Classification
Adult-Child Voice Differentiation

Use Cases

Voice Analysis
Child Voice Recognition System
Used to identify child voices, optimizing child voice recognition systems
94.04% classification accuracy
Educational Applications
Differentiating between teacher (adult) and student (child) voices in educational applications
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