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Wav2vec2 Large Xls R 300m Arabic
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Wav2vec2 Large Xls R 300m Arabic
Developed by phantomcoder1996
This is a wav2vec2-large-xlsr-300m model fine-tuned for Modern Standard Arabic, focusing on automatic speech recognition tasks.
Downloads 23
Release Time : 3/2/2022
Model Overview
Based on the wav2vec2 architecture, this model is specifically optimized for Arabic speech recognition, suitable for applications converting Arabic speech to text.
Model Features
Arabic Optimization
Fine-tuned specifically for Modern Standard Arabic, improving the accuracy of Arabic speech recognition.
Large-scale Pretraining
Based on the 300-million-parameter XLS-R model, it has strong capabilities for speech feature extraction.
Multi-dataset Evaluation
Comprehensively evaluated on Common Voice 7.0 and robust speech competition datasets.
Model Capabilities
Arabic Speech Recognition
Speech-to-Text
Automatic Speech Transcription
Use Cases
Speech Transcription
Arabic Speech to Text
Automatically convert Arabic speech content into text transcripts
Word Error Rate of 57.8 on the Common Voice 7.0 test set
Voice Assistants
Arabic Voice Command Recognition
Used for voice command recognition in Arabic voice assistants or control systems
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