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Whisper Large V3 Turbo Arabic
Based on the transformers library, this is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_11_0 dataset, optimized specifically for Arabic speech recognition.
Downloads 1,696
Release Time : 10/2/2024
Model Overview
This model is a fine-tuned version of Whisper-large-v3-turbo optimized for Arabic speech recognition tasks, showing good performance on the common_voice_11_0 dataset.
Model Features
Arabic optimization
Fine-tuned on the common_voice_11_0 Arabic dataset, significantly improving the accuracy of Arabic recognition
Multi-metric evaluation
Comprehensively evaluate the model performance through multiple metrics such as loss value, orthographic word error rate, and word error rate
Efficient training
Adopt mixed-precision training and optimized learning rate scheduling strategies to improve training efficiency
Model Capabilities
Arabic speech recognition
Speech-to-text
Multi-metric performance evaluation
Use Cases
Speech transcription
Arabic meeting minutes
Automatically transcribe Arabic meeting recordings into text
Word error rate 31.1455
Subtitle generation for Arabic media content
Automatically generate subtitles for Arabic videos
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