Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers-Reference-Cited by-同舟云学术

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Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers

Published:2023-12-16 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
language:
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Author:

Yang Zijian¹,Zhou Wei¹,Schlüter Ralf²,Ney Hermann²

Affiliation:

1. RWTH Aachen University,Machine Learning and Human Language Technology,Computer Science Department,Aachen,Germany,52074

2. AppTek GmbH,Aachen,Germany,52062

Funder

Ministry of Education

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389683.pdf?arnumber=10389683

Reference36 articles.

1. End-to-end attention-based large vocabulary speech recognition

2. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

3. Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard

4. Connectionist temporal classification

5. Sequence Transduction with Recurrent Neural Networks;Graves;arXiv preprint arXiv:1211.3711,2012

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