Multi-level language modeling and decoding for open vocabulary end-to-end speech recognition-Reference-Cited by-同舟云学术

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Multi-level language modeling and decoding for open vocabulary end-to-end speech recognition

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Hori Takaaki,Watanabe Shinji,Hershey John R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8260578/8268903/08268948.pdf?arnumber=8268948

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Initial decoding with minimally augmented language model for improved lattice rescoring in low resource ASR;Sādhanā;2024-05-21

2. End-to-End Speech Recognition: A Survey;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. ASR Model Adaptation for Rare Words Using Synthetic Data Generated by Multiple Text-To-Speech Systems;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

5. Combining multiple end-to-end speech recognition models based on density ratio approach;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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