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Journal Articles

Training a deep operator network as a surrogate solver for two-dimensional parabolic-equation models

Liang Xu, Haigang Zhang, Minghui Zhang

J. Acoust. Soc. Am. 154, 3276–3284 (2023)

https://doi.org/10.1121/10.0022460

Published: November 2023

View article titled, Training a deep operator network as a surrogate solver for two-dimensional parabolic-equation models

Journal Articles

Deep unsupervised adversarial domain adaptation for underwater source range estimation

Runling Long, Jianbo Zhou, Ningning Liang, Yixin Yang, He Shen

J. Acoust. Soc. Am. 154, 3125–3144 (2023)

https://doi.org/10.1121/10.0022380

Published: November 2023

View article titled, Deep unsupervised adversarial domain adaptation for underwater source range estimation

Journal Articles

AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance

Yuanbo Hou, Qiaoqiao Ren, Huizhong Zhang, Andrew Mitchell, Francesco Aletta, Jian Kang, Dick Botteldooren

J. Acoust. Soc. Am. 154, 3145–3157 (2023)

https://doi.org/10.1121/10.0022408

Published: November 2023

View article titled, AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance

Journal Articles

Angle-dependent phononic dynamics for data-driven source localization

Weidi Wang, Amir Ashkan Mokhtari, Ankit Srivastava, Alireza V. Amirkhizi

J. Acoust. Soc. Am. 154, 2904–2916 (2023)

https://doi.org/10.1121/10.0022325

Published: November 2023

View article titled, Angle-dependent phononic dynamics for data-driven source localization

Journal Articles

Multipitch estimation based on the iterative detection and separation of note events from single-channel polyphonic recordings

Alejandro Delgado Castro, John E. Szymanski

J. Acoust. Soc. Am. 154, 2625–2641 (2023)

https://doi.org/10.1121/10.0021886

Published: October 2023

View article titled, Multipitch estimation based on the iterative detection and separation of note events from single-channel polyphonic recordings

Journal Articles

A physically informed deep-learning approach for locating sources in a waveguide

Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov

J. Acoust. Soc. Am. 154, 2553–2563 (2023)

https://doi.org/10.1121/10.0021889

Published: October 2023

View article titled, A physically informed deep-learning approach for locating sources in a waveguide

Journal Articles

A wavefront adaptive sensing beamformer for ocean acoustic waveguides

Anil Ganti, Michael Martinez, Granger Hickman, Jeffrey Krolik

J. Acoust. Soc. Am. 154, 2398–2409 (2023)

https://doi.org/10.1121/10.0021310

Published: October 2023

View article titled, A wavefront adaptive sensing beamformer for ocean acoustic waveguides

Journal Articles

Sound absorption estimation of finite porous samples with deep residual learning

Elias Zea, Eric Brandão, Mélanie Nolan, Jacques Cuenca, Joakim Andén, U. Peter Svensson

J. Acoust. Soc. Am. 154, 2321–2332 (2023)

https://doi.org/10.1121/10.0021333

Published: October 2023

View article titled, Sound absorption estimation of finite porous samples with deep residual learning

Journal Articles

Research on the effect of tire pattern design on noise and its reduction

Liangjie Guan, Ming Gao, Zhongkai Ma, Chengxuan Yu

J. Acoust. Soc. Am. 154, 2265–2277 (2023)

https://doi.org/10.1121/10.0021173

Published: October 2023

View article titled, Research on the effect of tire pattern design on noise and its reduction

Journal Articles

Explainable machine learning reveals the relationship between hearing thresholds and speech-in-noise recognition in listeners with normal audiograms

Jithin Raj Balan, Hansapani Rodrigo, Udit Saxena, Srikanta K. Mishra

J. Acoust. Soc. Am. 154, 2278–2288 (2023)

https://doi.org/10.1121/10.0021303

Published: October 2023

View article titled, Explainable machine learning reveals the relationship between hearing thresholds and speech-in-noise recognition in listeners with normal audiograms

Journal Articles

Application of acoustic spectroscopy and neural networks to on-line size measurement of pharmaceutical nanocrystals

Guang Hao Hou, Akinola A. Falola, Xiao Kang Wang, Li Peng Liang, Xing Wu Zou, Tao Wu, Xue Z. Wang

J. Acoust. Soc. Am. 154, 2112–2123 (2023)

https://doi.org/10.1121/10.0020843

Published: October 2023

View article titled, Application of acoustic spectroscopy and neural networks to on-line size measurement of pharmaceutical nanocrystals

Includes: Supplementary data

Journal Articles

Cluster-aware channel estimation with deep learning method in deep-water acoustic communications

Diya Wang, Yonglin Zhang, Yupeng Tai, Lixin Wu, Haibin Wang, Jun Wang, Wenyu Luo, Fabrice Meriaudeau, Fan Yang

J. Acoust. Soc. Am. 154, 1757–1769 (2023)

https://doi.org/10.1121/10.0020861

Published: September 2023

View article titled, Cluster-aware channel estimation with deep learning method in deep-water acoustic communications

Journal Articles

Generative adversarial networks with physical sound field priors

Xenofon Karakonstantis, Efren Fernandez-Grande

J. Acoust. Soc. Am. 154, 1226–1238 (2023)

https://doi.org/10.1121/10.0020665

Published: August 2023

View article titled, Generative adversarial networks with physical sound field priors

Journal Articles

Feature selection for a continental-scale geospatial model of environmental sound levels

Katrina Pedersen, Mark K. Transtrum, Kent L. Gee, Shane V. Lympany, Michael M. James, Alexandria R. Salton

J. Acoust. Soc. Am. 154, 1168–1178 (2023)

https://doi.org/10.1121/10.0020659

Published: August 2023

View article titled, Feature selection for a continental-scale geospatial model of environmental sound levels

Journal Articles

Striking the right balance: Three-dimensional ocean sound speed field reconstruction using tensor neural networks

Siyuan Li, Lei Cheng, Ting Zhang, Hangfang Zhao, Jianlong Li

J. Acoust. Soc. Am. 154, 1106–1123 (2023)

https://doi.org/10.1121/10.0020670

Published: August 2023

View article titled, Striking the right balance: Three-dimensional ocean sound speed field reconstruction using tensor neural networks

Journal Articles

Denoising odontocete echolocation clicks using a hybrid model with convolutional neural network and long short-term memory network

Wuyi Yang, Wenlei Chang, Zhongchang Song, Fuqiang Niu, Xianyan Wang, Yu Zhang

J. Acoust. Soc. Am. 154, 938–947 (2023)

https://doi.org/10.1121/10.0020560

Published: August 2023

View article titled, Denoising odontocete echolocation clicks using a hybrid model with convolutional neural network and long short-term memory network

Journal Articles

A neural network-based method for spruce tonewood characterization

David Giuseppe Badiane, Sebastian Gonzalez, Raffaele Malvermi, Fabio Antonacci, Augusto Sarti

J. Acoust. Soc. Am. 154, 730–738 (2023)

https://doi.org/10.1121/10.0020559

Published: August 2023

View article titled, A neural network-based method for spruce tonewood characterization

Includes: Supplementary data

Journal Articles

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning

Wilson A. N., Ajit Jha, Abhinav Kumar, Linga Reddy Cenkeramaddi

J. Acoust. Soc. Am. 154, 533–546 (2023)

https://doi.org/10.1121/10.0020292

Published: July 2023

View article titled, Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning

Journal Articles

Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data

Pu Li, Xiaobai Liu, Holger Klinck, Pina Gruden, Marie A. Roch

J. Acoust. Soc. Am. 154, 502–517 (2023)

https://doi.org/10.1121/10.0020274

Published: July 2023

View article titled, Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data

Journal Articles

Deep transfer learning-based variable Doppler underwater acoustic communications

Yufei Liu, Yunjiang Zhao, Peter Gerstoft, Feng Zhou, Gang Qiao, Jingwei Yin

J. Acoust. Soc. Am. 154, 232–244 (2023)

https://doi.org/10.1121/10.0020147

Published: July 2023

View article titled, Deep transfer learning-based variable Doppler underwater acoustic communications

NARROW

Topics

Training a deep operator network as a surrogate solver for two-dimensional parabolic-equation models

Deep unsupervised adversarial domain adaptation for underwater source range estimation

AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance

Angle-dependent phononic dynamics for data-driven source localization

Multipitch estimation based on the iterative detection and separation of note events from single-channel polyphonic recordings

A physically informed deep-learning approach for locating sources in a waveguide

A wavefront adaptive sensing beamformer for ocean acoustic waveguides

Sound absorption estimation of finite porous samples with deep residual learning

Research on the effect of tire pattern design on noise and its reduction

Explainable machine learning reveals the relationship between hearing thresholds and speech-in-noise recognition in listeners with normal audiograms

Application of acoustic spectroscopy and neural networks to on-line size measurement of pharmaceutical nanocrystals

Cluster-aware channel estimation with deep learning method in deep-water acoustic communications

Generative adversarial networks with physical sound field priors

Feature selection for a continental-scale geospatial model of environmental sound levels

Striking the right balance: Three-dimensional ocean sound speed field reconstruction using tensor neural networks

Denoising odontocete echolocation clicks using a hybrid model with convolutional neural network and long short-term memory network

A neural network-based method for spruce tonewood characterization

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning

Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data

Deep transfer learning-based variable Doppler underwater acoustic communications

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