Since 1929, The Journal of the Acoustical Society of America (JASA) has been the leading source of theoretical and experimental research results in the broad interdisciplinary subject of sound.

The journal serves physical scientists, life scientists, engineers, psychologists, physiologists, architects, musicians, and speech communication specialists.

Subjects include:

    Linear and nonlinear acoustics
    Aeroacoustics
    Underwater sound and acoustical oceanography
    Ultrasonics and quantum acoustics
    Architectural and structural acoustics and vibration
    Speech, music, and noise
    Psychology and physiology of hearing
    Engineering acoustics, sound transducers, and measurements
    Bioacoustics, animal bioacoustics, and bioresponse to vibration

All submissions for publication are subject to peer review to determine their suitability for publication. In addition to contributed manuscripts, the journal contains news items of interest to acoustical scientists, special topics, book reviews, references to contemporary papers in acoustics, and reviews of acoustical patents.

Special Issue on Bayesian Methods in Acoustical Science and Engineering
Submission Date: 2026-01-30

The Journal of the Acoustical Society of America (JASA) and JASA Express Letters are calling for papers for a joint Special Issue on “Bayesian Methods in Acoustical Science and Engineering.”

Bayesian analysis has been increasingly applied to a wide variety of acoustical research and engineering tasks. Bayesian probability theory provides acousticians with an elegant framework for inferential data analysis which facilitates learning from acoustic experimental investigations that provide a deeper understanding of the underlying theory. In these analysis tasks, certain prior knowledge is often available about the acoustical phenomena under investigation, based either on the underlying physical theory or on certain phenomenological relationships. Bayesian probability theory allows this available information to be incorporated in the processing and analysis and exploited in the Bayesian framework as physical or phenomenological models.  Many analysis tasks in acoustics often include two levels of inference, model selection and parameter estimation. Bayesian inferential methods provide solutions to these two levels of inference by extensively using Bayes’ theorem within a unified framework.

This Special Issue encourages submissions of original works on various model-based approaches recently applied to signal processing and analysis in acoustics using either one or both levels of inference.

Topics of interest include (but are not limited to):

    Solutions/investigations of inverse problems using Bayesian approaches
    Optimization and Parameter estimations
    Uncertainty Quantification using Bayesian approaches
    Bayesian approaches in Machine Learning and Artificial Intelligence
    Physics-Informed or Physics-Based Deep Neural Networks (PINN, PBDNN) in Acoustic applications
    Advanced sampling methods used in multidimensional parameter spaces within Bayesian approaches
    Maximum entropy applied in Bayesian framework
    Bayesian causal analysis

If you have any questions about your intended paper, please email the Guest Editors.
Submission Deadline

    Deadline for manuscripts is January 30, 2026

Please note: Accepted papers will be published in the next available regular issue of the selected journal and identified as belonging to this Special Issue. After all papers from both journals have been published for the Special Issue, they will all be listed in a joint online collection on the JASA and JASA Express Letters websites.

Guest Editors:

Ning Xiang*
Rensselaer Polytechnic Institute, USA
Email: xiangn@rpi.edu

Ali Mohammad-Djafari
CNRS, Centrale Supelec, Gif-sur-Yvette, France
Email: djafari@ieee.org

Eliza (Z-H.) Michalopoulou
New Jersey Institute of Technology, USA
Email: michalop@njit.edu

Special Issue on Data and Models in Speech Production: A Situated Perspective
Submission Date: 2026-02-17

The Journal of the Acoustical Society of America (JASA) and JASA Express Letters are calling for papers for a joint Special Issue on “Data and Models in Speech Production: A Situated Perspective.”

This special issue will include experimental and modeling works that specifically investigate speech production as a cognitive and motor biological function which realization is largely related to other biological functions, such as sensory processing, attention, competitive cognitive tasks, communicative environment, or concurrent sensorimotor tasks (chewing, swallowing, breathing...). All these aspects can be investigated for different languages, but language should obviously not be considered as a biological factor of variability, rather as a factor that specifies the symbolic constraints of the task.

Topics of interest include (but are not limited to) experimental and/or modeling studies of the impact on speech production and speech motor learning of:

    Alterations of the auditory, somatosensory, tactile or visual inputs
    Augmented feedback
    Dual physical and/or cognitive tasks
    Face-to-face interactions
    Explicit or implicit communicative demands
    Age, from children to elderly persons
    Idiosyncrasies or physical features
    Motor, sensory or cognitive deficits
    Physical and anatomical constraints on sound production

If you have any questions about your intended paper, please email the Guest Editors.
Submission Deadline

    Deadline for manuscripts is February 17, 2026

Please note: Accepted papers will be published in the next available regular issue of the selected journal and identified as belonging to this Special Issue. After all papers from both journals have been published for the Special Issue, they will all be listed in a joint online collection on the JASA and JASA Express Letters websites.

Guest Editors:

Cécile Fougeron
LPP, Université Sorbonne Nouvelle, CNRS, Paris, France
Email: cecile.fougeron@sorbonne-nouvelle.fr

Pascal Perrier
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France
Email: Pascal.Perrier@grenoble-inp.fr

Jalal Al-Tamimi
Université Paris Cité, CNRS, Laboratoire de linguistique formelle, Paris, France
Email: jalal.al-tamimi@u-paris.fr

Pierre Baraduc
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France
Email: pierre.baraduc@grenoble-inp.fr

Zhaoyan Zhang*
Head & Neck Surgery, University of California, Los Angeles, USA
Email: zyzhang@ucla.edu

Special Issue on Generative and Physics-Informed Artificial Intelligence for Acoustics
Submission Date: 2026-03-02

The Journal of the Acoustical Society of America (JASA) and JASA Express Letters are calling for papers for a joint Special Issue on “Generative and Physics-Informed Artificial Intelligence for Acoustics.”

Generative Artificial Intelligence (AI), with breakthroughs like ChatGPT and SORA, is reshaping various fields. These breakthroughs hold significant potential for advancing the field of acoustics, encompassing areas such as audio signal processing, indoor acoustics, ultrasound applications, and underwater acoustics.

However, acoustics presents unique challenges. Sound generation, propagation, and sensing are governed by physical laws, making it an ideal fit for physics-informed AI (or AI for Science). While exciting progress has been made at the intersection of acoustics, generative AI and physics-informed AI, many critical research questions and technical challenges remain open. This emerging area offers a rich space for innovation, exploration, and impactful research.

This Special Issue invites innovative contributions that showcase how generative and physics-informed AI can address the specific challenges of acoustics. We welcome cutting-edge research that redefines the possibilities in this field.

Topics of interest include (but are not limited to):

    Generative and physics-informed AI for audio processing, including tasks like synthesis, noise reduction, and speech recognition.
    Generative and physics-informed AI for modeling sound generation, propagation, and sensing.
    Generative and physics-informed AI applications in indoor acoustics, such as room simulations, sound behavior prediction, and space optimization.
    Generative and physics-informed AI for ultrasound, including medical imaging and non-destructive testing.
    Generative and physics-informed AI for underwater acoustics, including sonar signal processing, communications, and underwater soundscapes.
    Generative and physics-informed AI-based acoustic sensing for environmental monitoring, smart cities, and structural health.
    Combining generative AI and physics-informed models to tackle complex acoustic challenges.
    Emerging applications of generative and physics-informed AI in virtual reality, music technology, immersive sound, and ethical considerations.

If you have any questions about your intended paper, please email the Guest Editors.
Submission Deadline

    Deadline for manuscripts is March 2, 2026

Please note: Accepted papers will be published in the next available regular issue of the selected journal and identified as belonging to this Special Issue. After all papers from both journals have been published for the Special Issue, they will all be listed in a joint online collection on the JASA and JASA Express Letters websites.

Guest Editors:

Lei Cheng
Zhejiang University, Hangzhou, China
Email: lei_cheng@zju.edu.cn

Peter Gerstoft*
Scripps Institution of Oceanography, University of California, San Diego, USA
Email: gerstoft@ucsd.edu

Sergios Theodoridis
National and Kapodistrian University of Athens, Greece
Aalborg University, Denmark
Email: stheodor@di.uoa.gr

Efren Fernandez-Grande
Technical University of Denmark (DTU), Lyngby, Denmark
Email: efgr@dtu.dk

Haiqiang Niu
Institute of Acoustics, Chinese Academy of Sciences, China
Email: nhq@mail.ioa.ac.cn

Feng Yin
The Chinese University of Hong Kong, Shenzhen, China
Email: yinfeng@cuhk.edu.cn

Special Issue on Mobile Underwater Sensor Networks and Acoustics: Advances and Practices
Submission Date: 2026-05-01

The Journal of the Acoustical Society of America (JASA) and JASA Express Letters are calling for papers for a joint Special Issue on "Mobile Underwater Sensor Networks and Acoustics: Advances and Practices."

Networks of mobile underwater sensors possess outstanding advantages compared to individual counterparts. There has been extensive research on these networks and impressive results have been reported on various occasions. As a result, there are also increasingly more efforts for sea trials of mobile underwater sensor networks, which is especially important for both theoretical and technological development. This special issue aims to cover the latest innovations, research findings, and practical implementations related to mobile underwater sensor networks with acoustic components. Researchers, engineers, and industry professionals are especially encouraged to share their relevant insights and experiences gained from the sea trials or field experiments.

Topics of interest include (but are not limited to):

    Design and architecture of mobile underwater acoustic networks
    Integration of underwater mobile networks with acoustic sensors
    Detection, localization, and tracking algorithms and tests in underwater environments
    Communication protocols for mobile underwater sensor networks
    Distributed estimation and control technologies for mobile sensor networks
    Applications in ocean dynamics observation, environmental monitoring, and target detection
    Field tests of cooperative unmanned underwater vehicle swarms
    Challenges and solutions in real-world deployments of mobile underwater sensor networks
    Future trends and research directions in mobile acoustic sensing technologies

If you have any questions about your intended paper, please email the Guest Editors.
Submission Deadline

    Deadline for manuscripts is May 1, 2026

Please note: Accepted papers will be published in the next available regular issue of the selected journal and identified as belonging to this Special Issue. After all papers from both journals have been published for the Special Issue, they will all be listed in a joint online collection on the JASA and JASA Express Letters websites.

Guest Editors:

Wen Xu*
Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences
Email: wxu@idsse.ac.cn

Milica Stojanovic
Northeastern University
Email: millitsa@ece.neu.edu

Fumin Zhang
The Hong Kong University of Science and Technology
Email: eefumin@ust.hk

Andrea Munafò
University of Pisa
Email: andrea.munafo@unipi.it

Huarong Zheng
Zhejiang University
Email: hrzheng@zju.edu.cn