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Artst Asr V3 Qasr

Developed by MBZUAI
An Arabic automatic speech recognition model fine-tuned on the QASR dataset, specifically adapted for dialectal variants
Downloads 636
Release Time : 3/1/2025

Model Overview

This model is an Arabic automatic speech recognition (ASR) model based on the SpeechT5 architecture, optimized for Arabic dialectal variants, developed by the MBZUAI Speech Lab.

Model Features

Dialect Optimization
Specially optimized for Arabic dialectal variants, better recognizing non-standard Arabic
Efficient Architecture
Based on the SpeechT5 architecture, balancing recognition accuracy and computational efficiency
QASR Dataset Fine-tuning
Fine-tuned using the QASR dataset, enhancing recognition capabilities for Arabic speech

Model Capabilities

Arabic speech recognition
Dialectal variant recognition
Speech-to-text conversion

Use Cases

Speech Transcription
Arabic Meeting Minutes
Automatically convert Arabic meeting recordings into text transcripts
Supports accurate transcription of standard Arabic and common dialects
Media Content Subtitling
Automatically generate subtitles for Arabic video content
Capable of processing media content containing dialects
Voice Assistants
Arabic Voice Command Recognition
Command recognition module for Arabic voice assistant systems
Can understand commands in different accents and dialects
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