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Wav2vec2 Large Xlsr 53 Levantine Arabic

Developed by elgeish
An Arabic speech recognition model fine-tuned on the Arabic speech corpus dataset, based on the facebook/wav2vec2-large-xlsr-53 model
Downloads 46
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition (ASR) model optimized for Arabic, capable of converting Arabic speech into text.

Model Features

Arabic Optimization
Specially fine-tuned for Arabic speech, improving recognition accuracy for Arabic speech
No Language Model Required
Can be used directly without additional language model support
16kHz Sampling Rate Support
Supports audio input with a 16kHz sampling rate

Model Capabilities

Arabic speech recognition
Speech-to-text conversion

Use Cases

Speech Transcription
Arabic Speech-to-Text
Convert Arabic speech content into text format
Voice Assistants
Arabic Voice Command Recognition
Used as a speech recognition component for Arabic voice assistants or voice control systems
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