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Wav2vec2 Large Xlsr Arabic Common Voice 10 Epochs
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Wav2vec2 Large Xlsr Arabic Common Voice 10 Epochs

Developed by salti
Arabic speech recognition model based on wav2vec2 architecture, trained for 10 epochs on the Common Voice dataset
Speech Recognition
Transformers
#Arabic Speech Recognition#High Accuracy Wav2Vec2#Multi-Dialect Adaptation
Downloads 30
Release Time : 3/2/2022

Model Overview

This model is an optimized Automatic Speech Recognition (ASR) model for Arabic, based on Facebook's wav2vec2-large-xlsr architecture and trained on the Common Voice Arabic dataset.

Model Features

Arabic Optimization
Specially optimized for Arabic speech recognition tasks
Based on wav2vec2 Architecture
Utilizes Facebook's wav2vec2-large-xlsr architecture with powerful speech feature extraction capabilities
Efficient Training
Achieves good results with only 10 training epochs, validation loss 0.3581, word error rate 0.4555

Model Capabilities

Arabic Speech-to-Text
Continuous Speech Recognition
Speech Feature Extraction

Use Cases

Speech Transcription
Arabic Speech Transcription
Convert Arabic speech content into text
Word error rate 0.4555
Voice Assistants
Arabic Voice Command Recognition
Basic recognition component for Arabic voice assistants
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