Accelerating RNN-T Training and Inference Using CTC guidance
Accelerating RNN-T Training and Inference Using CTC guidance
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We propose a novel method to accelerate training and inference process of recurrent neural network transducer (RNN-T) based on the guidance from a co-trained connectionist temporal classification (CTC) model. We made a key assumption that if an encoder embedding frame is classified as a blank frame by the CTC model, it is likely that this frame wil...
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Accelerating RNN-T Training and Inference Using CTC guidance
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TN_cdi_proquest_journals_2730894824
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2730894824
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2331-8422
