跳到主要导航
跳到搜索
跳到主要内容
西北工业大学 国内
English
中文
国内
简介
研究单位
科研成果
按专业知识、名称或附属进行搜索
Efficient conformer with prob-sparse attention mechanism for end-to-end speech recognition
Xiong Wang, Sining Sun,
Lei Xie
, Long Ma
计算机学院
Northwestern Polytechnical University Xian
Tencent
科研成果
:
书/报告/会议事项章节
›
会议稿件
›
同行评审
13
引用 (Scopus)
综述
指纹
指纹
探究 'Efficient conformer with prob-sparse attention mechanism for end-to-end speech recognition' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Attention (Machine Learning)
100%
Speech Recognition
100%
Sparsity
50%
Global Information
50%
Recognition Accuracy
50%
Self-Attention Mechanism
50%
Speed-up
50%
Leibler Divergence
50%
System Structure
50%
Engineering
Conformers
100%
System Structure
25%
Recognition Accuracy
25%
Error Rate
25%
Sparsity
25%
Transducer
25%
Automatic Speech Recognition
25%
Kullback-Leibler Divergence
25%
Psychology
Error Rate
100%