Arabic Speech Recognition with Whisper

Overview

Arabic speech recognition presents unique challenges due to the language’s complex morphology, dialectal variations, and limited training data. This project fine-tunes OpenAI’s Whisper model specifically for Arabic speech-to-text.

Approach

Using the Whisper-jax model and HuggingFace Transformers library, the model was fine-tuned on a curated Arabic speech dataset to achieve accurate transcription.

Results

The fine-tuned model achieved significant improvements in Arabic speech recognition accuracy, handling various dialects and speaking styles effectively.

Key Technologies

• OpenAI Whisper (whisper-jax variant)
• HuggingFace Transformers for fine-tuning
• Google Colab for training infrastructure
• Custom Arabic speech dataset