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Learning Sound Event Classifiers from Web Audio with Noisy Labels

Learning Sound Event Classifiers from Web Audio with Noisy Labels

4 January 2019
Eduardo Fonseca
Manoj Plakal
D. Ellis
F. Font
Xavier Favory
Xavier Serra
    NoLa
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Papers citing "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

16 / 16 papers shown
Title
Exploring Differences between Human Perception and Model Inference in
  Audio Event Recognition
Exploring Differences between Human Perception and Model Inference in Audio Event Recognition
Yizhou Tan
Yanru Wu
Yuanbo Hou
Xin Xu
Hui Bu
Shengchen Li
Dick Botteldooren
Mark D. Plumbley
35
0
0
10 Sep 2024
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
32
9
0
04 Oct 2023
Exploring Self-Supervised Contrastive Learning of Spatial Sound Event
  Representation
Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation
Xilin Jiang
Cong Han
Yinghao Aaron Li
N. Mesgarani
SSL
29
1
0
27 Sep 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in
  Natural Language Processing
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing
Tingting Wu
Xiao Ding
Minji Tang
Haotian Zhang
Bing Qin
Ting Liu
NoLa
26
9
0
18 May 2023
Robust Training for Speaker Verification against Noisy Labels
Robust Training for Speaker Verification against Noisy Labels
Zhihua Fang
Liang He
Hanhan Ma
Xiao-Min Guo
Lin Li
NoLa
22
3
0
22 Nov 2022
Self-supervised learning of audio representations using angular
  contrastive loss
Self-supervised learning of audio representations using angular contrastive loss
Shanshan Wang
S. Tripathy
A. Mesaros
SSL
24
4
0
10 Nov 2022
Speaker Verification in Multi-Speaker Environments Using Temporal
  Feature Fusion
Speaker Verification in Multi-Speaker Environments Using Temporal Feature Fusion
Ahmad Aloradi
Wolfgang Mack
Mohamed Elminshawi
Emanuel Habets
30
5
0
28 Jun 2022
SpliceOut: A Simple and Efficient Audio Augmentation Method
SpliceOut: A Simple and Efficient Audio Augmentation Method
Arjit Jain
Pranay Reddy Samala
Deepak Mittal
P. Jyothi
M. Singh
28
10
0
30 Sep 2021
ARCA23K: An audio dataset for investigating open-set label noise
ARCA23K: An audio dataset for investigating open-set label noise
Turab Iqbal
Yin Cao
A. Bailey
Mark D. Plumbley
Wenwu Wang
18
4
0
19 Sep 2021
Fine-Grained Classroom Activity Detection from Audio with Neural
  Networks
Fine-Grained Classroom Activity Detection from Audio with Neural Networks
Eric Slyman
Chris Daw
Morgan Skrabut
A. Usenko
Brian Hutchinson
HAI
19
5
0
29 Jul 2021
Project Achoo: A Practical Model and Application for COVID-19 Detection
  from Recordings of Breath, Voice, and Cough
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
Alexander Ponomarchuk
I. Burenko
Elian Malkin
Ivan Nazarov
V. Kokh
Manvel Avetisian
L. Zhukov
34
40
0
12 Jul 2021
Unsupervised Contrastive Learning of Sound Event Representations
Unsupervised Contrastive Learning of Sound Event Representations
Eduardo Fonseca
Diego Ortego
Kevin McGuinness
Noel E. O'Connor
Xavier Serra
SSL
24
65
0
15 Nov 2020
SESQA: semi-supervised learning for speech quality assessment
SESQA: semi-supervised learning for speech quality assessment
Joan Serra
Jordi Pons
Santiago Pascual
8
42
0
01 Oct 2020
A Sequential Self Teaching Approach for Improving Generalization in
  Sound Event Recognition
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar
V. Ithapu
17
35
0
30 Jun 2020
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a
  Teacher-Student Framework With Loss Masking
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking
Eduardo Fonseca
Shawn Hershey
Manoj Plakal
D. Ellis
A. Jansen
R. C. Moore
Xavier Serra
NoLa
25
23
0
02 May 2020
Supervised Classifiers for Audio Impairments with Noisy Labels
Supervised Classifiers for Audio Impairments with Noisy Labels
Chandan K. A. Reddy
Ross Cutler
J. Gehrke
NoLa
19
4
0
03 Jul 2019
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