Retrieval Augmented Generation based context discovery for ASR (2025.findings-emnlp)
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Siskos Dimitrios, Stavros Papadopoulos, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Anastasios Drosou
| Challenge: | Existing strategies for automatic context discovery remain a challenge . embedding-based retrieval reduces WER by up to 17% relative to using no-context . |
| Approach: | They propose an embedding-based retrieval approach for automatic context discovery . they propose two alternatives based on large language models to contextualize their effectiveness . |
| Outcome: | The proposed method reduces WER by up to 17% relative to using no-context . |
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