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FYP ARABIZI
This model is a speech recognition model fine-tuned on an unknown dataset based on facebook/wav2vec2-large-xlsr-53, supporting recognition of Arabic dialects (Arabizi).
Downloads 33
Release Time : 5/12/2022
Model Overview
This is a speech recognition model optimized for Arabic dialects (Arabizi), fine-tuned on the wav2vec2-large-xlsr-53 architecture, achieving a word error rate of 0.4042 on the evaluation set.
Model Features
Arabic Dialect Optimization
Speech recognition model specifically optimized for Arabizi (Arabic Latin alphabet transcription)
Fine-tuned on wav2vec2-large
Fine-tuned on the powerful wav2vec2-large-xlsr-53, inheriting its excellent speech feature extraction capabilities
Relatively Low Word Error Rate
Achieved a word error rate of 0.4042 on the evaluation set, indicating good recognition accuracy
Model Capabilities
Arabic dialect speech recognition
Speech to text
GPU acceleration support
Use Cases
Speech transcription
Arabic dialect speech transcription
Convert Arabic dialect speech content into text
Word error rate 0.4042
Voice assistant
Arabic dialect voice command recognition
Used to recognize Arabic dialect voice commands
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