Developing Robust Georgian Automatic Speech Recognition with FastConformer Hybrid Transducer CTC BPE – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-11T15:00:00Z http://www.open-lab.net/blog/feed/ Sofia Kostandian <![CDATA[Developing Robust Georgian Automatic Speech Recognition with FastConformer Hybrid Transducer CTC BPE]]> http://www.open-lab.net/blog/?p=85835 2024-08-22T18:25:43Z 2024-08-05T16:52:11Z Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources.  In...]]> Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources.  In...Image of two people sitting in their cubicles with speech recognition visualizations in the background.

Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources. In this post, I discuss the best practices for preparing the dataset, configuring the model, and training it effectively. I also discuss the evaluation metrics and the encountered challenges. By following these practices��

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