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Forward-Backward Convolutional Recurrent Neural Networks and
  Tag-Conditioned Convolutional Neural Networks for Weakly Labeled
  Semi-supervised Sound Event Detection

Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection

11 March 2021
Janek Ebbers
Reinhold Haeb-Umbach
ArXivPDFHTML

Papers citing "Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection"

7 / 7 papers shown
Title
Training Sound Event Detection On A Heterogeneous Dataset
Training Sound Event Detection On A Heterogeneous Dataset
Nicolas Turpault
Romain Serizel
53
61
0
08 Jul 2020
Guided Learning Convolution System for DCASE 2019 Task 4
Guided Learning Convolution System for DCASE 2019 Task 4
Liwei Lin
Xiangdong Wang
Hong Liu
Yueliang Qian
39
57
0
11 Sep 2019
Specialized Decision Surface and Disentangled Feature for
  Weakly-Supervised Polyphonic Sound Event Detection
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection
Liwei Lin
Xiangdong Wang
Hong Liu
Yueliang Qian
53
42
0
24 May 2019
A Comparison of Five Multiple Instance Learning Pooling Functions for
  Sound Event Detection with Weak Labeling
A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling
Yun Wang
Juncheng Billy Li
Florian Metze
46
184
0
22 Oct 2018
Adaptive pooling operators for weakly labeled sound event detection
Adaptive pooling operators for weakly labeled sound event detection
Brian McFee
Justin Salamon
J. P. Bello
71
148
0
26 Apr 2018
A Closer Look at Weak Label Learning for Audio Events
A Closer Look at Weak Label Learning for Audio Events
Ankit Parag Shah
Anurag Kumar
Alexander G. Hauptmann
Bhiksha Raj
63
65
0
24 Apr 2018
Sound event detection using weakly labeled dataset with stacked
  convolutional and recurrent neural network
Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network
Sharath Adavanne
Tuomas Virtanen
NoLa
38
54
0
09 Oct 2017
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