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Investigation of Knowledge Transfer Approaches to Improve the Acoustic Modeling of Vietnamese ASR System

Danyang Liu Ji Xu Pengyuan Zhang Yonghong Yan

自动化学报（英文版）2019，Vol.6Issue(5)：1187-1195,9.

自动化学报（英文版）2019，Vol.6Issue(5)：1187-1195,9.DOI:10.1109/JAS.2019.1911693

Investigation of Knowledge Transfer Approaches to Improve the Acoustic Modeling of Vietnamese ASR System

Danyang Liu ¹Ji Xu ²Pengyuan Zhang ¹Yonghong Yan¹

作者信息

1. Key Laboratory of Speech Acoustics and Con-tent Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
2. School of Electron-ic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China
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摘要

关键词

Bottleneck feature (BNF)/cross-lingual automatic speech recognition (ASR)/progressive neural networks (Prognets) model/transfer learning

Key words

Bottleneck feature (BNF)/cross-lingual automatic speech recognition (ASR)/progressive neural networks (Prognets) model/transfer learning

引用本文复制引用

Danyang Liu,Ji Xu,Pengyuan Zhang,Yonghong Yan..Investigation of Knowledge Transfer Approaches to Improve the Acoustic Modeling of Vietnamese ASR System[J].自动化学报（英文版）,2019,6(5):1187-1195,9.

基金项目

This work was partially supported by the National Natural Science Foundation of China (11590770-4, U1536117), the National Key Research and Develop-ment Program of China (2016YFB0801203, 2016YFB0801200), the Key Sci-ence and Technology Project of the Xinjiang Uygur Autonomous Region (2016A03007-1), and the Pre-research Project for Equipment of General In-formation System (JZX2017-0994/Y306). （11590770-4, U1536117）

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