Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition-Reference-Cited by-同舟云学术

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Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Data Mining (ICDM)
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Author:

Song Yuanfeng,Huang Xiaoling,Zhao Xuefang,Jiang Di,Wong Raymond Chi-Wing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9678506/9678989/09679032.pdf?arnumber=9679032

Reference41 articles.

1. Efficient lattice rescoring using recurrent neural network language models

2. TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation

3. Adam: A method for stochastic optimization;kingma;Tech Rep,2014

4. Learning to rank

5. A structured listwise approach to learning to rank for image tagging;sánchez;ECCV,2018

Cited by 1 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. Pretraining Enhanced RNN Transducer;CAAI Artificial Intelligence Research;2024-12

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