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Very Deep Convolutional Neural Networks for Raw Waveforms

Very Deep Convolutional Neural Networks for Raw Waveforms

1 October 2016
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
ArXiv (abs)PDFHTML

Papers citing "Very Deep Convolutional Neural Networks for Raw Waveforms"

28 / 78 papers shown
Title
End-to-End Environmental Sound Classification using a 1D Convolutional
  Neural Network
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli
P. Cardinal
Alessandro Lameiras Koerich
71
276
0
18 Apr 2019
Unsupervised Feature Learning for Environmental Sound Classification
  Using Weighted Cycle-Consistent Generative Adversarial Network
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
77
43
0
08 Apr 2019
Direct Modelling of Speech Emotion from Raw Speech
Direct Modelling of Speech Emotion from Raw Speech
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
J. Epps
114
103
0
08 Apr 2019
AclNet: efficient end-to-end audio classification CNN
AclNet: efficient end-to-end audio classification CNN
Jonathan Huang
Juan Jose Alvarado Leanos
61
52
0
16 Nov 2018
Deep Convolutional Neural Network with Mixup for Environmental Sound
  Classification
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
Zhichao Zhang
Shugong Xu
Shan Cao
Shunqing Zhang
58
128
0
25 Aug 2018
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio
  Analysis on a Simple Benchmark
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Sören Becker
Johanna Vielhaben
M. Ackermann
Klaus-Robert Muller
Sebastian Lapuschkin
Wojciech Samek
XAI
115
100
0
09 Jul 2018
Compact and Computationally Efficient Representation of Deep Neural
  Networks
Compact and Computationally Efficient Representation of Deep Neural Networks
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
87
71
0
27 May 2018
Environmental Sound Classification Based on Multi-temporal Resolution
  Convolutional Neural Network Combining with Multi-level Features
Environmental Sound Classification Based on Multi-temporal Resolution Convolutional Neural Network Combining with Multi-level Features
Boqing Zhu
Kele Xu
Dezhi Wang
Lilun Zhang
Bo Li
Yuxing Peng
46
14
0
24 May 2018
End-to-End Speech-Driven Facial Animation with Temporal GANs
End-to-End Speech-Driven Facial Animation with Temporal GANs
Konstantinos Vougioukas
Stavros Petridis
Maja Pantic
CVBM
87
103
0
23 May 2018
Real-time regression analysis with deep convolutional neural networks
Real-time regression analysis with deep convolutional neural networks
Eliu A. Huerta
D. George
Zhizhen Zhao
Gabrielle Allen
77
4
0
07 May 2018
A Bimodal Learning Approach to Assist Multi-sensory Effects
  Synchronization
A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization
R. Abreu
J. Santos
Eduardo Bezerra
28
8
0
28 Apr 2018
ASR Performance Prediction on Unseen Broadcast Programs using
  Convolutional Neural Networks
ASR Performance Prediction on Unseen Broadcast Programs using Convolutional Neural Networks
Z. Elloumi
Laurent Besacier
Olivier Galibert
Juliette Kahn
Benjamin Lecouteux
43
9
0
23 Apr 2018
Learning Environmental Sounds with Multi-scale Convolutional Neural
  Network
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Boqing Zhu
Changjian Wang
Feng Liu
Jin Lei
Zengquan Lu
Yuxing Peng
68
64
0
25 Mar 2018
Raw Waveform-based Audio Classification Using Sample-level CNN
  Architectures
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
Jongpil Lee
Taejun Kim
Jiyoung Park
Juhan Nam
53
67
0
04 Dec 2017
Between-class Learning for Image Classification
Between-class Learning for Image Classification
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
SSL
89
207
0
28 Nov 2017
Learning from Between-class Examples for Deep Sound Recognition
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
SSL
94
237
0
28 Nov 2017
DNN Transfer Learning based Non-linear Feature Extraction for Acoustic
  Event Classification
DNN Transfer Learning based Non-linear Feature Extraction for Acoustic Event Classification
Seongkyu Mun
Minkyu Shin
Suwon Shon
Wooil Kim
D. Han
Hanseok Ko
41
14
0
11 Aug 2017
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Szu-Wei Fu
Yu Tsao
Xugang Lu
Hisashi Kawai
78
197
0
07 Mar 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
771
37,971
0
20 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
304
11,167
0
14 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.5K
195,053
0
10 Dec 2015
Very Deep Multilingual Convolutional Neural Networks for LVCSR
Very Deep Multilingual Convolutional Neural Networks for LVCSR
Tom Sercu
Christian Puhrsch
Brian Kingsbury
Yann LeCun
85
224
0
29 Sep 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
512
13,195
0
12 Mar 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
562
43,400
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,597
0
22 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition
Deep Speech: Scaling up end-to-end speech recognition
Awni Y. Hannun
Carl Case
Jared Casper
Bryan Catanzaro
G. Diamos
...
R. Prenger
S. Satheesh
Shubho Sengupta
Adam Coates
A. Ng
205
2,131
0
17 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
543
43,764
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
2.0K
100,738
0
04 Sep 2014
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