Semi-supervised discriminative language modeling for Turkish ASR-Reference-Cited by-同舟云学术

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Semi-supervised discriminative language modeling for Turkish ASR

Published:2012-03 Issue: Volume: Page:
ISSN:
Container-title:2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Celebi A.,Sak H.,Dikici E.,Saraclar M.,Lehr M.,Prud'hommeaux E.,Xu P.,Glenn N.,Karakos D.,Khudanpur S.,Roark B.,Sagae K.,Shafran I.,Bikel D.,Callison-Burch C.,Cao Y.,Hall K.,Hasler E.,Koehn P.,Lopez A.,Post M.,Riley D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6268628/6287775/06289049.pdf?arnumber=6289049

Cited by 6 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. Training RNN language models on uncertain ASR hypotheses in limited data scenarios;Computer Speech & Language;2024-01

2. AT-ST: Self-training Adaptation Strategy for OCR in Domains with Limited Transcriptions;Document Analysis and Recognition – ICDAR 2021;2021

3. Confusion2Vec: towards enriching vector space word representations with representational ambiguities;PeerJ Computer Science;2019-06-10

4. Learning from past mistakes: improving automatic speech recognition output via noisy-clean phrase context modeling;APSIPA Transactions on Signal and Information Processing;2019

5. Semi-supervised and unsupervised discriminative language model training for automatic speech recognition;Speech Communication;2016-10

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