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Sound Event Detection and Time-Frequency Segmentation from Weakly
  Labelled Data
v1v2v3 (latest)

Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data

12 April 2018
Qiuqiang Kong
Yong-mei Xu
I. Sobieraj
Wenwu Wang
Mark D. Plumbley
ArXiv (abs)PDFHTML

Papers citing "Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data"

31 / 31 papers shown
Title
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
Tom Dooney
Harsh Narola
Stefano Bromuri
R. L. Curier
C. Broeck
Sarah Caudill
D. Tan
143
0
0
30 Jan 2025
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task
  Description, Dataset, and Baseline
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Eduardo Fonseca
Manoj Plakal
F. Font
D. Ellis
Xavier Favory
Jordi Pons
Xavier Serra
88
148
0
26 Jul 2018
A multi-device dataset for urban acoustic scene classification
A multi-device dataset for urban acoustic scene classification
A. Mesaros
Toni Heittola
Tuomas Virtanen
35
380
0
25 Jul 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
79
148
0
26 Apr 2018
Multiple Instance Deep Learning for Weakly Supervised Small-Footprint
  Audio Event Detection
Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection
Shao-Yen Tseng
Juncheng Billy Li
Yun Wang
Joseph Szurley
Florian Metze
Samarjit Das
57
4
0
27 Dec 2017
A joint separation-classification model for sound event detection of
  weakly labelled data
A joint separation-classification model for sound event detection of weakly labelled data
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
41
29
0
08 Nov 2017
Audio Set classification with attention model: A probabilistic
  perspective
Audio Set classification with attention model: A probabilistic perspective
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
BDL
59
104
0
02 Nov 2017
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
43
54
0
09 Oct 2017
Large-scale weakly supervised audio classification using gated
  convolutional neural network
Large-scale weakly supervised audio classification using gated convolutional neural network
Yong-mei Xu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
62
232
0
01 Oct 2017
Attention and Localization based on a Deep Convolutional Recurrent Model
  for Weakly Supervised Audio Tagging
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
46
67
0
17 Mar 2017
Convolutional Gated Recurrent Neural Network Incorporating Spatial
  Features for Audio Tagging
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
68
102
0
24 Feb 2017
A Joint Detection-Classification Model for Audio Tagging of Weakly
  Labelled Data
A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
VLM
55
47
0
06 Oct 2016
CNN Architectures for Large-Scale Audio Classification
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
D. Ellis
J. Gemmeke
A. Jansen
...
Rif A. Saurous
Bryan Seybold
M. Slaney
Ron J. Weiss
K. Wilson
123
2,506
0
29 Sep 2016
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
151
1,270
0
27 Sep 2016
Unsupervised Feature Learning Based on Deep Models for Environmental
  Audio Tagging
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Yong-mei Xu
Qiang Huang
Wenwu Wang
Peter Foster
Siddharth Sigtia
Philip J. B. Jackson
Mark D. Plumbley
49
79
0
13 Jul 2016
Automatic tagging using deep convolutional neural networks
Automatic tagging using deep convolutional neural networks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
150
329
0
01 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Audio Event Detection using Weakly Labeled Data
Audio Event Detection using Weakly Labeled Data
Anurag Kumar
Bhiksha Raj
56
173
0
09 May 2016
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real
  Life Recordings
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
Giambattista Parascandolo
H. Huttunen
Tuomas Virtanen
49
319
0
04 Apr 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
52
747
0
19 Mar 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
250
9,326
0
14 Dec 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
91
613
0
11 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Salient Object Detection: A Benchmark
Salient Object Detection: A Benchmark
Ali Borji
Ming-Ming Cheng
Huaizu Jiang
Jia Li
101
1,729
0
05 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
A Discriminative CNN Video Representation for Event Detection
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
103
450
0
14 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,308
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,279
0
16 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,193
0
11 Nov 2013
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