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Improving Tail Performance of a Deliberation E2E ASR Model Using a LargeText Corpus

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Abstract

End-to-end (E2E) automatic speech recognition (ASR) systems lack the distinct language model (LM) component that characterizes traditional speech systems. While this simplifies the model architecture, it complicates the task of incorporating text-only data into training, which is important to the recognition of tail words that do not oc...More

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Author
Cal Peyser
Cal Peyser
Sepand Mavandadi
Sepand Mavandadi
Tara N. Sainath
Tara N. Sainath
James Apfel
James Apfel
Shankar Kumar
Shankar Kumar
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