Knowledge Commons of Institute of Automation,CAS
Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT | |
Ye Bai; Jiangyan Yi; Jianhua Tao; Zhengkun Tian; Zhengqi Wen; Shuai Zhang | |
发表期刊 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
2021 | |
期号 | 29页码:1897 - 1911 |
摘要 | Attention-based encoder-decoder (AED) models |
关键词 | 端到端语音识别、迁移学习、知识蒸馏、老师-学生学习、BERT、非自回归语音识别 |
七大方向——子方向分类 | 语音识别与合成 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44977 |
专题 | 多模态人工智能系统全国重点实验室_智能交互 |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Ye Bai,Jiangyan Yi,Jianhua Tao,et al. Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing,2021(29):1897 - 1911. |
APA | Ye Bai,Jiangyan Yi,Jianhua Tao,Zhengkun Tian,Zhengqi Wen,&Shuai Zhang.(2021).Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT.IEEE/ACM Transactions on Audio, Speech, and Language Processing(29),1897 - 1911. |
MLA | Ye Bai,et al."Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT".IEEE/ACM Transactions on Audio, Speech, and Language Processing .29(2021):1897 - 1911. |
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