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Wav2vec2 Large Xls Ar

Developed by mohamed1ai
An Arabic automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, achieving a WER of 52% on the Common Voice Arabic dataset.
Downloads 30
Release Time : 3/2/2022

Model Overview

This is a model for Arabic automatic speech recognition (ASR), fine-tuned based on Facebook's wav2vec2-large-xlsr-53 architecture, supporting the conversion of Arabic speech to text.

Model Features

High-precision Arabic recognition
Speech recognition model optimized for Arabic, achieving a WER of 52% on the Common Voice test set.
No language model required
Can be used directly without additional language model support.
16kHz sampling rate support
Specifically optimized for processing speech input with a 16kHz sampling rate.

Model Capabilities

Arabic speech recognition
Speech-to-text
Real-time speech processing

Use Cases

Speech transcription
Arabic speech transcription
Convert Arabic speech content into text format
Achieved 52% WER on the Common Voice test set.
Voice assistants
Arabic voice command recognition
Used for Arabic voice assistants and voice control applications
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