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(IS 19)Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual b
時間 2021-01-11
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會議:INTERSPEECH 2019 論文:Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual bottleneck extractor and correspondence autoencoders 作者:Raghav Menon, Herman Kamper,
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相關文章
1.
(IS 19)Binary Speech Features for Keyword Spotting Tasks Alexandre Riviello, Jean-Pierre David(重點)
2.
(IS 15)Convolutional Neural Networks for Small-footprint Keyword Spotting
3.
(IC19)Federated Learning for Keyword Spotting
4.
未完core(ICASSP 19)EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING
5.
(KWS-DNN)Small-footprint keyword spotting using deep neural networks
6.
Using Object Information for Spotting Text
7.
SMALL-FOOTPRINT KEYWORD SPOTTING USING DEEP NEURAL NETWORKS學習摘要
8.
PR10.10:#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
9.
Parsing error: Using the export keyword between a decorator and a class is not allowed
10.
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>>更多相關文章<<