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貴重儀器
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Online compressive transformer for end-to-end speech recognition
Chi Hang Leong
, Yu Han Huang
,
Jen Tzung Chien
電機工程學系
研究成果
:
Conference contribution
›
同行評審
15
引文 斯高帕斯(Scopus)
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指紋
深入研究「Online compressive transformer for end-to-end speech recognition」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Engineering
Speech Signal
100%
Transducer
100%
Performance Degradation
100%
Classification Neural Network
100%
Recurrent Neural Network
100%
Keyphrases
Transformer
100%
End-to-end Speech Recognition
100%
Offline Speech Recognition
22%
Connectionist Temporal Classification
22%
Chuck
11%
Speech Recognition
11%
Audio
11%
Performance Degradation
11%
Speech Signal
11%
Utterance
11%
Potential Performance
11%
Online Processing
11%
Classification Neural Networks
11%
History Information
11%
Live Broadcast
11%
Real-time Speech Recognition
11%
Recurrent Neural Network Transducer (RNN-T)
11%
Computer Science
Speech Recognition
100%
Recurrent Neural Network
16%
Performance Degradation
16%
Baseline Model
16%
Online Processing
16%
History Information
16%