Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base-Reference-Cited by-同舟云学术

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Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base

Published:2023-12-15 Issue: Volume: Page:2975-2979
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
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Author:

Zhang Min¹,Qiao Xiaosong¹,Zhao Yanqing¹,Su Chang¹,Li Yinglu¹,Li Yuang¹,Zhu Ming¹,Piao Mengyao¹,Peng Song²,Tao Shimin¹,Yang Hao¹,Jiang Yanfei³

Affiliation:

1. Huawei Translation Services Center,Beijing,China

2. Huawei Translation Services Center,Shenzhen,China

3. Huawei Translation Services Center,Dongguan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386366.pdf?arnumber=10386366

Reference20 articles.

1. State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

2. Conformer: Convolution-augmented Transformer for Speech Recognition

3. Robust speech recognition via large-scale weak supervision;Radford,2022

4. Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition

5. ASR Error Correction with Augmented Transformer for Entity Retrieval

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