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Machine learning in acoustics: theory and applications

Machine learning in acoustics: theory and applications

11 May 2019
Michael J. Bianco
Peter Gerstoft
James Traer
Emma Ozanich
M. Roch
Sharon Gannot
Charles-Alban Deledalle
    AI4CE
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Papers citing "Machine learning in acoustics: theory and applications"

19 / 19 papers shown
Title
Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
Kyunghun Lee
Lauren M. Henry
Eleanor Hansen
Elizabeth Tandilashvili
Lauren S. Wakschlag
Elizabeth Norton
Daniel S. Pine
Melissa A. Brotman
Francisco Pereira
25
0
0
11 Oct 2024
ISR: Invertible Symbolic Regression
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
51
0
0
10 May 2024
Learning to Predict Structural Vibrations
Learning to Predict Structural Vibrations
J. V. Delden
Julius Schultz
Christopher Blech
Sabine C. Langer
Timo Luddecke
AI4CE
26
1
0
09 Oct 2023
Generative adversarial networks with physical sound field priors
Generative adversarial networks with physical sound field priors
X. Karakonstantis
Efren Fernandez-Grande
GAN
27
12
0
01 Aug 2023
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
28
93
0
20 Oct 2022
Few-shot Bioacoustic Event Detection with Machine Learning Methods
Few-shot Bioacoustic Event Detection with Machine Learning Methods
Leah Chowenhill
Gaurav Satyanath
Shubhr Singh
M. Wagh
21
0
0
09 Aug 2022
Direct Localization in Underwater Acoustics via Convolutional Neural
  Networks: A Data-Driven Approach
Direct Localization in Underwater Acoustics via Convolutional Neural Networks: A Data-Driven Approach
Amir Weiss
Toros Arikan
G. Wornell
8
3
0
20 Jul 2022
Sound Localization by Self-Supervised Time Delay Estimation
Sound Localization by Self-Supervised Time Delay Estimation
Ziyang Chen
David Fouhey
Andrew Owens
SSL
24
19
0
26 Apr 2022
Supplementation of deep neural networks with simplified physics-based
  features to increase model prediction accuracy
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
Nicholus R. Clinkinbeard
Nicole N. Hashemi
PINN
AI4CE
38
0
0
14 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
32
84
0
13 Apr 2022
A Machine-learning Framework for Acoustic Design Assessment in Early
  Design Stages
A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages
Reyhane Abarghooie
Z. Zomorodian
M. Tahsildoost
Zohreh Shaghaghian
13
4
0
14 Sep 2021
BeamLearning: an end-to-end Deep Learning approach for the angular
  localization of sound sources using raw multichannel acoustic pressure data
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
Hadrien Pujol
Éric Bavu
Alexandre Garcia
44
22
0
27 Apr 2021
Audio scene monitoring using redundant ad-hoc microphone array networks
Audio scene monitoring using redundant ad-hoc microphone array networks
Peter Gerstoft
Yihan Hu
Michael J. Bianco
Chaitanya Patil
Ardel Alegre
Y. Freund
François Grondin
20
11
0
02 Mar 2021
Deep Networks for Direction-of-Arrival Estimation in Low SNR
Deep Networks for Direction-of-Arrival Estimation in Low SNR
G. Papageorgiou
M. Sellathurai
Yonina C. Eldar
24
183
0
17 Nov 2020
Complex data labeling with deep learning methods: Lessons from fisheries
  acoustics
Complex data labeling with deep learning methods: Lessons from fisheries acoustics
J. M. Sarr
T. Brochier
P. Brehmer
Y. Perrot
A. Bah
Abdoulaye Sarré
M. A. Jeyid
M. Sidibeh
S. E. Ayoubi
11
13
0
21 Oct 2020
Semi-supervised source localization with deep generative modeling
Semi-supervised source localization with deep generative modeling
Michael J. Bianco
Sharon Gannot
Peter Gerstoft
DRL
8
21
0
27 May 2020
Training a U-Net based on a random mode-coupling matrix model to recover
  acoustic interference striations
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
Xiaolei Li
Wenhua Song
Dazhi Gao
Wei Gao
Haozhong Wang
6
12
0
24 Mar 2020
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
Acoustic Scene Classification
Acoustic Scene Classification
D. Barchiesi
D. Giannoulis
D. Stowell
Mark D. Plumbley
102
405
0
13 Nov 2014
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