Graph-Based Phonetic Error Correction of Noisy ASR
Researchers propose a graph-based correction method to fix phonetic errors in ASR systems that often plague critical tokens like named entities.
ASR systems frequently misidentify semantically important words due to phonetic similarities. This new approach moves beyond token-level correction by using a structured graph to address these systematic errors, improving accuracy for critical data points.