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Whisper With Augmentation Small Arabic With Diacritics
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Whisper With Augmentation Small Arabic With Diacritics
Developed by mohmdsh
This model is a fine-tuned version of openai/whisper-small on Arabic datasets with diacritics, supporting Arabic speech-to-text tasks with diacritical marks.
Downloads 14
Release Time : 1/10/2025
Model Overview
This is a Whisper small model variant optimized for Arabic speech with diacritics, suitable for applications requiring detailed Arabic pronunciation recognition.
Model Features
Arabic diacritics support
Specially optimized for Arabic speech recognition with diacritical marks
Based on Whisper architecture
Utilizes OpenAI Whisper-small architecture with solid speech recognition foundations
Data augmentation training
Employs data augmentation techniques during training to enhance model robustness
Model Capabilities
Arabic speech recognition
Diacritics text output
Real-time speech transcription
Use Cases
Education
Arabic pronunciation teaching
Used for pronunciation evaluation and correction in Arabic learning
Accurately recognizes Arabic pronunciation with diacritics
Speech transcription services
Arabic meeting minutes
Real-time transcription of Arabic meetings into diacritics-marked text
Word error rate approximately 71.71%
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