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Wav2vec2 Xls R 300m Ar

Developed by nouamanetazi
This model is an automatic speech recognition model fine-tuned on the Common Voice Arabic dataset based on facebook/wav2vec2-xls-r-300m.
Downloads 19
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition model optimized for Arabic, fine-tuned based on the XLS-R-300M architecture, suitable for Arabic speech-to-text tasks.

Model Features

Arabic optimization
Specially fine-tuned for Arabic speech, improving recognition accuracy for Arabic speech.
Based on XLS-R architecture
Uses Facebook's XLS-R-300M pre-trained model as the foundation, with powerful speech feature extraction capabilities.
Trained on Common Voice dataset
Trained using the Common Voice Arabic dataset, covering diverse speech scenarios.

Model Capabilities

Arabic speech recognition
Speech-to-text
Long audio processing (supports chunk processing)

Use Cases

Speech transcription
Arabic speech transcription
Convert Arabic speech content into text
Voice assistants
Arabic voice command recognition
Used for Arabic voice assistants or control system voice command recognition
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