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Learning from Between-class Examples for Deep Sound Recognition

Learning from Between-class Examples for Deep Sound Recognition

28 November 2017
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
    SSL
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Papers citing "Learning from Between-class Examples for Deep Sound Recognition"

40 / 40 papers shown
Title
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
Lam Pham
Phat Lam
Dat Tran
Hieu Tang
Tin Nguyen
Alexander Schindler
Canh Vu
Alexander Polonsky
Canh Vu
56
3
0
23 Sep 2024
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language
  Models
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Sreyan Ghosh
Ashish Seth
Sonal Kumar
Utkarsh Tyagi
Chandra Kiran Reddy Evuru
S. Ramaneswaran
S. Sakshi
Oriol Nieto
R. Duraiswami
Dinesh Manocha
AuLLM
VLM
CoGe
43
23
0
12 Oct 2023
Low-complexity deep learning frameworks for acoustic scene
  classification using teacher-student scheme and multiple spectrograms
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
L. D. Pham
Dat Ngo
Cam Le
Anahid N. Jalali
Alexander Schindler
19
1
0
16 May 2023
CAT: Causal Audio Transformer for Audio Classification
CAT: Causal Audio Transformer for Audio Classification
Xiaoyu Liu
Hanlin Lu
Jianbo Yuan
Xinyu Li
ViT
28
22
0
14 Mar 2023
An Inception-Residual-Based Architecture with Multi-Objective Loss for
  Detecting Respiratory Anomalies
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Dat Ngo
L. D. Pham
Huy P Phan
Minh Tran
D. Jarchi
Ş. Kolozali
32
3
0
07 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
11
1
0
25 Nov 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
Accuracy Enhancement for Ear Acoustic Authentication Using Between-class
  Features
Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features
Masaki Yasuhara
I. Nambu
Yoshiko Maruyama
Shohei Yano
13
2
0
18 May 2022
An Ensemble of Deep Learning Frameworks Applied For Predicting
  Respiratory Anomalies
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies
L. D. Pham
Dat Ngo
T. Hoang
Alexander Schindler
Ian Mcloughlin
21
5
0
09 Jan 2022
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene
  Classification
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
L. D. Pham
Dat Ngo
Phu X. Nguyen
Hoang Van Truong
Alexander Schindler
21
9
0
16 Dec 2021
RCT: Random Consistency Training for Semi-supervised Sound Event
  Detection
RCT: Random Consistency Training for Semi-supervised Sound Event Detection
Nian Shao
Erfan Loweimi
Xiaofei Li
29
13
0
21 Oct 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
38
267
0
19 Oct 2021
Study of positional encoding approaches for Audio Spectrogram
  Transformers
Study of positional encoding approaches for Audio Spectrogram Transformers
L. Pepino
Pablo Riera
Luciana Ferrer
ViT
28
6
0
13 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Shaoyu Zhang
Chen Chen
Xiujuan Zhang
Silong Peng
21
7
0
11 Oct 2021
An overview of mixing augmentation methods and augmentation strategies
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mańdziuk
23
61
0
21 Jul 2021
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern
  Recognition
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition
S. Verbitskiy
Vladimir Berikov
Viacheslav Vyshegorodtsev
24
73
0
03 Jun 2021
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
A. Guzhov
Federico Raue
Jörn Hees
Andreas Dengel
21
38
0
23 Apr 2021
AST: Audio Spectrogram Transformer
AST: Audio Spectrogram Transformer
Yuan Gong
Yu-An Chung
James R. Glass
ViT
55
835
0
05 Apr 2021
AlignMixup: Improving Representations By Interpolating Aligned Features
AlignMixup: Improving Representations By Interpolating Aligned Features
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
WSOL
33
61
0
29 Mar 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep
  Acoustic Networks on Extremely Resource-Constrained Devices
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman
Christoph Bergmeir
I. West
B. Meyer
17
41
0
05 Mar 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and
  Aggregation
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
Yuan Gong
Yu-An Chung
James R. Glass
VLM
104
144
0
02 Feb 2021
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
118
56
0
19 Oct 2020
An Ensemble of Convolutional Neural Networks for Audio Classification
An Ensemble of Convolutional Neural Networks for Audio Classification
L. Nanni
Gianluca Maguolo
S. Brahnam
M. Paci
19
86
0
15 Jul 2020
ESResNet: Environmental Sound Classification Based on Visual Domain
  Models
ESResNet: Environmental Sound Classification Based on Visual Domain Models
A. Guzhov
Federico Raue
Jörn Hees
Andreas Dengel
VLM
19
91
0
15 Apr 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active
  Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Dongdong Wang
Yandong Li
Liqiang Wang
Boqing Gong
24
48
0
31 Mar 2020
Deep Feature Embedding and Hierarchical Classification for Audio Scene
  Classification
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification
L. D. Pham
Ian Mcloughlin
Huy P Phan
Ramaswamy Palaniappan
Alfred Mertins
11
20
0
12 Feb 2020
Robust Acoustic Scene Classification using a Multi-Spectrogram
  Encoder-Decoder Framework
Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework
L. D. Pham
Huy P Phan
T. Nguyen
Ramaswamy Palaniappan
Alfred Mertins
Ian Mcloughlin
22
43
0
11 Feb 2020
Limitations of weak labels for embedding and tagging
Limitations of weak labels for embedding and tagging
Nicolas Turpault
Romain Serizel
Emmanuel Vincent
26
9
0
05 Feb 2020
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang
Kun Xu
Jun Zhu
AAML
28
103
0
25 Sep 2019
Universal Adversarial Audio Perturbations
Universal Adversarial Audio Perturbations
Sajjad Abdoli
L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
AAML
25
51
0
08 Aug 2019
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals
  for Singing Voice
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
Kyungyun Lee
Juhan Nam
11
18
0
26 Jun 2019
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional
  Neural Network
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
Hideki Oki
Takio Kurita
SSL
14
4
0
24 Jun 2019
Multi-class Novelty Detection Using Mix-up Technique
Multi-class Novelty Detection Using Mix-up Technique
Supritam Bhattacharjee
Devraj Mandal
Soma Biswas
25
14
0
11 May 2019
Deep Learning for Audio Signal Processing
Deep Learning for Audio Signal Processing
Hendrik Purwins
Bo-wen Li
Tuomas Virtanen
Jan Schlüter
Shuo-yiin Chang
Tara N. Sainath
VLM
24
586
0
30 Apr 2019
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
39
270
0
18 Apr 2019
Hydranet: Data Augmentation for Regression Neural Networks
Hydranet: Data Augmentation for Regression Neural Networks
Florian Dubost
Gerda Bortsova
H. Adams
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen de Bruijne
MedIm
21
9
0
12 Jul 2018
Improved Mixed-Example Data Augmentation
Improved Mixed-Example Data Augmentation
Cecilia Summers
M. Dinneen
35
159
0
29 May 2018
Data Augmentation by Pairing Samples for Images Classification
Data Augmentation by Pairing Samples for Images Classification
H. Inoue
28
420
0
09 Jan 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
270
13,368
0
25 Aug 2014
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