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What is Enhancing ASR for Indian Languages about?
This study presents MixLoRA, a parameter-efficient fine-tuning method applied to the Whisper-large-v3 model, aimed at improving automatic speech recognition (ASR) for eight Indian languages and their dialects. The results show a significant reduction in character error rate (CER) and word error rate (WER) across various speech types, demonstrating the effectiveness of MixLoRA in enhancing ASR performance in low-resource, dialect-rich settings. The findings suggest that MixLoRA can provide scalable solutions
- Author
- Abhayjeet singh
- Language
- EN