wav2vec2-xls-r-adult-child-cls Open-source Audio Classification Model - Freely Distinguish Adult and Child Voices

Wav2vec2 Xls R Adult Child Cls

Developed by bookbot

An audio classification model based on the XLS-R architecture, designed to distinguish between adult and child speech.

EnglishOpen Source License:Apache-2.0 #High-precision speech classification #Adult-child recognition #XLS-R architecture

Downloads 20

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of wav2vec2-xls-r-300m on a private adult/child speech classification dataset, primarily used for speech classification tasks.

Model Features

High accuracy

Achieves 94.69% accuracy and an F1 score of 0.9508 on the evaluation dataset.

Based on XLS-R architecture

Utilizes the powerful feature extraction capabilities of the XLS-R architecture for speech classification.

Efficient training

Optimizes the training process using gradient accumulation and linear learning rate scheduling.

Model Capabilities

Audio classification

Adult/Child speech differentiation

Use Cases

Speech analysis

Child speech recognition

Used to identify and classify child speech, suitable for educational or child product applications.

94.69% accuracy

Adult speech recognition

Used to identify and classify adult speech, suitable for customer service or voice assistant applications.

F1 score 0.9508

Property	Details
Model Type	`wav2vec2-xls-r-adult-child-cls`
#params	300M
Arch.	XLS - R
Training Data	Adult/Child Speech Classification Dataset

Dataset	Loss	Accuracy	F1
Adult/Child Speech Classification	0.1851	94.69%	0.9508

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2906	1.0	383	0.1856	0.9372	0.9421
0.1749	2.0	766	0.1925	0.9418	0.9465
0.1681	3.0	1149	0.1893	0.9414	0.9459
0.1295	4.0	1532	0.1851	0.9469	0.9508
0.2031	5.0	1915	0.1944	0.9423	0.9460

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Wav2vec2 Xls R Adult Child Cls

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Wav2Vec2 XLS-R Adult/Child Speech Classifier

🚀 Quick Start

✨ Features

📚 Documentation

Model

Evaluation Results

Training procedure

Training hyperparameters

Training results

Disclaimer

Authors

Framework versions

📄 License