共 50 条
[32]
LEARNING ENVIRONMENTAL SOUNDS WITH END-TO-END CONVOLUTIONAL NEURAL NETWORK
[J].
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP),
2017,
:2721-2725
[33]
End-to-end Dynamic Stream Processing on Maxeler HLS Platforms
[J].
2019 IEEE 30TH INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2019),
2019,
:59-66
[34]
End-to-end compensation of digital-optical imaging systems
[J].
CURRENT DEVELOPMENTS IN LENS DESIGN AND OPTICAL ENGINEERING VII,
2006, 6288
[36]
Lattice Based Transcription Loss for End-to-End Speech Recognition
[J].
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY,
2018, 90 (07)
:1013-1023
[37]
Lattice Based Transcription Loss for End-to-End Speech Recognition
[J].
2016 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP),
2016,
[38]
The Digital Simulation of End-To-End Imaging Chain in Optical Remote Sensing System Based on MTF Models
[J].
PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015),
2015,
:328-333
[39]
Lattice Based Transcription Loss for End-to-End Speech Recognition
[J].
Journal of Signal Processing Systems,
2018, 90
:1013-1023
[40]
ERROR ANALYSIS APPLIED TO END-TO-END SPOKEN LANGUAGE UNDERSTANDING
[J].
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING,
2020,
:8514-8518