Hi there,
To fine-tune the Whisper 3 large model for Arabic language recognition, I can assist in configuring the model to enhance its performance in noisy environments and adapt it to specific regional dialects. This process will involve preparing a suitable dataset, implementing the fine-tuning process, and optimizing the model for real-time speech recognition. I will also ensure that the system is robust enough to handle various acoustic conditions while maintaining high accuracy.
While I understand the overall requirements, could you clarify if there are specific dialects or noise conditions you want to focus on during the fine-tuning process?
As a senior developer with 7 years of experience, I have worked on over 10 projects involving ASR systems and machine learning. My skills include proficiency in Python, model training, noise reduction techniques, and dialect recognition.
Skills:
- ASR
- Whisper Model
- Python
- Machine Learning
- Noise Reduction
- Dialect Recognition
- Real-Time Processing
Due to NDA restrictions, I cannot share previous project details, but I am available to discuss different approaches and provide a demo if needed. Please initiate a chat to further discuss the project.
Regards,
Akhilesh