This project aims to perform Arabic speech recognition using the Whisper model, developed by OpenAI. We fine-tune the Whisper model on an Arabic speech dataset, leveraging the Hugging Face Transformers library. The trained model can transcribe Arabic speech audio into text with high accuracy.
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Data Preparation: We start by collecting and preparing an Arabic speech dataset. The dataset should contain audio files along with their corresponding transcriptions.
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Fine-Tuning: We fine-tune the pre-trained Whisper model on the Arabic dataset using supervised learning. During fine-tuning, the model learns to map input audio features to text transcriptions.
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Evaluation: After fine-tuning, we evaluate the trained model's performance on a separate test dataset. We measure metrics such as Word Error Rate (WER) to assess the accuracy of the model's transcriptions.
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Inference: Once the model is trained and evaluated, it can be used for real-world inference tasks. Given a new Arabic speech audio file, the model can transcribe the audio into text.
- Whisper Model: The core of the project is the Whisper model, which is a deep learning model specifically designed for speech recognition tasks.
- Hugging Face Transformers: We leverage the Transformers library from Hugging Face, which provides a user-friendly interface for working with state-of-the-art deep learning models, including Whisper.
- Training Script: We provide a training script that automates the process of fine-tuning the Whisper model on the Arabic dataset.
- Evaluation Script: We also provide an evaluation script to measure the performance of the trained model using standard metrics.
- Inference Script: Finally, we offer an inference script that allows users to transcribe Arabic speech audio using the trained model.
To use the project, follow these steps:
- Prepare the Arabic speech dataset.
- Fine-tune the Whisper model on the dataset using the provided training script.
- Evaluate the trained model using the evaluation script.
- Use the trained model for inference tasks using the inference script.
For a detailed guide on fine-tuning the Whisper model and other advanced techniques, read the blog post on Hugging Face's blog.