A Context-Aware Knowledge Transferring Strategy for CTC-Based ASR-Reference-Cited by-同舟云学术

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A Context-Aware Knowledge Transferring Strategy for CTC-Based ASR

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
language:
Short-container-title:

Author:

Lu Ke-Han¹,Chen Kuan-Yu¹

Affiliation:

1. National Taiwan University of Science and Technology,Taiwan

Funder

Ministry of Science and Technology of Taiwan

National Applied Research Laboratories (NARLabs)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022825.pdf?arnumber=10022825

Reference36 articles.

1. Non-Autoregressive ASR Modeling Using Pre-Trained Language Models for Chinese Speech Recognition

2. Transformers: State-of-the-Art Natural Language Processing

3. Xlnet: Generalized autoregressive pretraining for language understanding;yang;Advances in neural information processing systems,0

4. ESPnet: End-to-End Speech Processing Toolkit

5. Improving Non-Autoregressive End-to-End Speech Recognition with Pre-Trained Acoustic and Language Models

Cited by 3 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. Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-Based ASR;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Cross-Modal Alignment With Optimal Transport For CTC-Based ASR;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023

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