Call for Abstracts
Abstract Submission Opens on September 15, 2026!
Abstract Submission Opens on September 15, 2026!
AQL 2027 invites submissions of original research in quantitative laryngology, voice, and speech. Abstracts will be considered for podium or poster presentation.
Call for Abstracts Opens: September 15, 2026
Abstract Submission Deadline: December 1, 2026
Acceptance Notifications: February 1, 2027
Early Bird Registration Deadline: March 15, 2027
Conference Dates: June 1–3, 2027
AQL welcomes theoretical, experimental, computational, methodological, translational, and clinical research, including:
* Laryngeal and vocal fold physiology and biomechanics
* Molecular and cellular biology, tissue mechanics, and tissue engineering
* Neuromuscular control and neurophysiology of voice and speech
* Voice and speech production, acoustics, aerodynamics, and kinematics
* Fluid structure sound interactions and vocal tract acoustics
* Laryngeal imaging, high speed imaging, and quantitative image analysis
* Computational modeling, simulation, and synthesis
* Signal processing and quantitative analysis of voice and speech
* Machine learning, artificial intelligence, and data-driven methods
* Voice and speech assessment, biomarkers, and outcome measures
* Voice and speech disorders, diagnosis, treatment, and rehabilitation
* Voice and speech motor control and sensorimotor mechanisms
* Vocal loading, fatigue, occupational voice, and environmental influences
* Singing voice and professional voice
* Aging and lifespan changes in voice and speech
* Wearable sensing, ambulatory monitoring, and mobile health technologies
* Novel instrumentation, measurement techniques, and emerging technologies
Abstracts must follow the AQL 2027 Abstract Template:
* Maximum 500 words, excluding section headings, Acknowledgments, and References
* Structured sections: Objective, Introduction, Methods, Results, and Conclusion
* Maximum 2 pages
* One figure or table may be included; caption text counts toward the word limit
* Up to 4 keywords
* Title in ALL CAPS, 12-point Times New Roman, centered
* Author names and affiliations should follow the format provided in the template
Authors must disclose the use of AI-generated content, including text, figures, images, or code, in the Acknowledgments section of the abstract. The disclosure should name the AI system used, indicate where AI-generated material appears, and briefly describe how the system contributed to that content. Routine use of AI tools for editing or improving grammar is generally exempt from this requirement, although authors are encouraged to disclose such use.
Submitted abstracts will undergo peer review by the AQL Scientific Committee and will be evaluated based on scientific merit, methodological rigor, clarity, originality, and relevance to the scope of AQL.
The review period will run from December 1, 2026, through February 1, 2027.
At least one author of each accepted abstract must register for and attend the conference to present the work.
Abstracts will be submitted through Microsoft CMT.
Authors will need a Microsoft CMT account to submit an abstract.