Papers by Srijith Radhakrishnan
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition (2023.emnlp-main)
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Srijith Radhakrishnan, Chao-Han Yang, Sumeer Khan, Rohit Kumar, Narsis Kiani, David Gomez-Cabrero, Jesper Tegnér
| Challenge: | Existing methods for generative error correction in automatic speech recognition (ASR) use a two-pass reranking paradigm to generate n-best hypotheses. |
| Approach: | They propose a cross-modal fusion technique for generative error correction in automatic speech recognition. |
| Outcome: | The proposed technique shows a 37.66% improvement in word error rate relative to the n-best Oracle. |