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@gopiashokan
gopiashokan committed Jan 1, 2024
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- For model training, we leverage the powerful Seq2SeqTrainingArguments and Seq2SeqTrainer from the Hugging Face Transformers library. These components provide a robust framework for training our Marathi Speech Recognition models.

![image](https://github.com/gopiashokan/Voice-AI-Speech-to-Text-Model/blob/main/Images/Evaluation%20Metrics.JPG)


## Model Evaluation

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- [Word Error Rate Evaluation between Large and Small Models](https://github.com/gopiashokan/Voice-AI-Speech-to-Text-Model/blob/main/Base_Model_Word_Error_Rate_Evaluation.ipynb)


**Contributing**
## Contributing

Contributions to this project are welcome! If you encounter any issues or have suggestions for improvements, please feel free to submit a pull request.


**License**
## License

This project is licensed under the MIT License. Please review the LICENSE file for more details.


**Contact**
## Contact

📧 Email: gopiashokankiot@gmail.com

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