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An adapted data selection for deep learning-based audio segmentation in multi-genre broadcast channel
Digital Signal Processing
◽
10.1016/j.dsp.2018.03.004
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2018
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Vol 81
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pp. 8-15
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Cited By ~ 3
Author(s):
Xu-Kui Yang
◽
Dan Qu
◽
Wen-Lin Zhang
◽
Wei-Qiang Zhang
Keyword(s):
Deep Learning
◽
Data Selection
◽
Broadcast Channel
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Audio Segmentation
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Selection For
Download Full-text
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Data-driven method for training data selection for deep learning
10.3997/2214-4609.202112817
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2021
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Author(s):
C. Lacombe
◽
I. Hammoud
◽
J. Messud
◽
H. Peng
◽
T. Lesieur
◽
...
Keyword(s):
Deep Learning
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Training Data
◽
Data Selection
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Data Driven
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Selection For
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Training Data Selection
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Data selection for naturalness in HMM-based speech synthesis
10.21437/speechprosody.2016-162
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2016
◽
Cited By ~ 1
Author(s):
Erica Cooper
◽
Yocheved Levitan
◽
Julia Hirschberg
Keyword(s):
Speech Synthesis
◽
Data Selection
◽
Selection For
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Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO
2020 International Conference on Wireless Communications and Signal Processing (WCSP)
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10.1109/wcsp49889.2020.9299795
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2020
◽
Author(s):
Yindi Yang
◽
Shun Zhang
◽
FeiFei Gao
◽
Chao Xu
◽
Jianpeng Ma
◽
...
Keyword(s):
Deep Learning
◽
Massive Mimo
◽
Antenna Selection
◽
Selection For
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Improving data selection for low-resource STT and KWS
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
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10.1109/asru.2015.7404788
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2015
◽
Cited By ~ 2
Author(s):
Thiago Fraga-Silva
◽
Antoine Laurent
◽
Jean-Luc Gauvain
◽
Lori Lamel
◽
Viet-Bac Le
◽
...
Keyword(s):
Data Selection
◽
Low Resource
◽
Selection For
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The Mathematical Model and Deep Learning Features Selection for Whorl Fingerprint Classifications
International Journal of Computational Intelligence Systems
◽
10.2991/ijcis.d.210318.002
◽
2021
◽
Author(s):
Ibrahim Jawarneh
◽
Nesreen Alsharman
Keyword(s):
Mathematical Model
◽
Deep Learning
◽
Features Selection
◽
Deep Learning Features
◽
Selection For
◽
The Mathematical Model
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Active learning based data selection for limited resource STT and KWS
10.21437/interspeech.2015-636
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2015
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Author(s):
Thiago Fraga-Silva
◽
Jean-Luc Gauvain
◽
Lori Lamel
◽
Antoine Laurent
◽
Viet-Bac Le
◽
...
Keyword(s):
Active Learning
◽
Limited Resource
◽
Data Selection
◽
Selection For
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Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision
2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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10.1109/itsc.2019.8917069
◽
2019
◽
Author(s):
Panagiotis Meletis
◽
Rob Romijnders
◽
Gijs Dubbelman
Keyword(s):
Semantic Segmentation
◽
Data Selection
◽
Weak Supervision
◽
Selection For
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Dynamic Data Selection for Curriculum Learning via Ability Estimation
10.18653/v1/2020.findings-emnlp.48
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2020
◽
Author(s):
John P. Lalor
◽
Hong Yu
Keyword(s):
Data Selection
◽
Ability Estimation
◽
Dynamic Data
◽
Selection For
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Deep Learning-Based Decoding and AP Selection for Radio Stripe Network
Intelligent Automation & Soft Computing
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10.32604/iasc.2022.021017
◽
2022
◽
Vol 32
(1)
◽
pp. 131-148
Author(s):
Aman Kumar Mishra
◽
Vijayakumar Ponnusamy
Keyword(s):
Deep Learning
◽
Selection For
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Applying genetic algorithms to data selection for SQL mutation analysis
Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion
◽
10.1145/2464576.2464675
◽
2013
◽
Author(s):
Ana C.L. Monção
◽
Celso G. Camilo-Jr
◽
Leonardo T. Queiroz
◽
Cassio L. Rodrigues
◽
Plínio de Sá Leitão-Jr
◽
...
Keyword(s):
Genetic Algorithms
◽
Mutation Analysis
◽
Data Selection
◽
Selection For
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