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Sashank Gondala

2 accepted papers

2025

Retrieval Augmented Correction of Named Entity Speech Recognition Errors

ICASSP 2025accepted

In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant error rate for entity names which appear infrequently in their training data. In parallel to the rise of end-to-end ASR systems…

Cited by 0SourceScholar
2021

Error-Driven Pruning of Language Models for Virtual Assistants

ICASSP 2021accepted

Language models (LMs) for virtual assistants (VAs) are typically trained on large amounts of data, resulting in prohibitively large models which require excessive memory and/or cannot be used to serve user requests in real-time. Entropy pruning results in smaller models but with significant degradat…

Cited by 0SourceScholar