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Fine-Tuning ASR Models: Enhancing Accuracy and Adaptability for Specific Tasks
Fine-tuning improves pre-trained ASR models for specific tasks, adapting them to new languages, accents, and domains. This process enhances accuracy in the direction of interest, while requiring less computational cost than training models from scratch.
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