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Arabic Speech Recognition

Developed by mohammed
An Arabic automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampling rate audio input
Downloads 37
Release Time : 3/2/2022

Model Overview

This model is an automatic speech recognition (ASR) system specifically designed for Arabic speech recognition, based on the Wav2Vec2 architecture, fine-tuned using training sets from Common Voice and Arabic speech corpora.

Model Features

Arabic optimization
Specifically fine-tuned for Arabic speech characteristics, better recognizing Arabic pronunciation and diacritics
No language model required
Can be used directly without additional language model support
Multi-dataset training
Trained with Common Voice and Arabic speech corpora to improve model generalization

Model Capabilities

Arabic speech recognition
Automatic speech-to-text
16kHz sampling rate audio processing

Use Cases

Speech transcription
Arabic speech-to-text
Convert Arabic speech content into text format
Test WER of 36.69%
Voice assistants
Arabic voice command recognition
Used for voice command recognition in Arabic voice assistants or control systems
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