Acoustic Model Fusion For End-to-End Speech Recognition-Reference-Cited by-同舟云学术

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Acoustic Model Fusion For End-to-End Speech Recognition

Published:2023-12-16 Issue: Volume:30 Page:1-7
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
language:
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Author:

Lei Zhihong¹,Xu Mingbin¹,Han Shiyi¹,Liu Leo¹,Huang Zhen¹,Ng Tim¹,Zhang Yuanyuan¹,Pusateri Ernest¹,Hannemann Mirko¹,Deng Yaqiao¹,Siu Man-Hung¹

Affiliation:

1. Apple

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389720.pdf?arnumber=10389720

Reference24 articles.

1. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

2. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

3. Connectionist temporal classification

4. Sequence transduction with recurrent neural networks;Graves;arXiv preprint arXiv:1211.3711,2012

5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Cited by 2 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. Personalization of CTC-Based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Generating Image Adversarial Example by Modifying JPEG Stream;Proceedings of the International Conference on Computer Vision and Deep Learning;2024-01-19

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