Read the latest featured articles | The most cited journal in acoustics* |
| |  | New Technical Area Picks Are Now Online | Featured below are articles in biomedical acoustics, musical acoustics, noise, and speech communication that have been chosen by the ASA Technical Committees.
These rotating selections of technical area picks are also featured on the JASA homepage—check back regularly to see the premier articles from each committee. | | JASA is #1 in total citations in ACOUSTICS category.* | | | | | | | |
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From committee chair Julianna Simon: "This paper details a different use of bubbles, in the form of gas vesicles derived from cyanobacteria which collapse at very specific pressures, to estimate the pressure output of very high frequency transducers. Current commercial hydrophones are limited to frequencies below 80 MHz, yet acoustic microscopy uses ultra-high frequency ultrasound at 100-1000 MHz to resolve objects down to about 1 micron. In this paper, the authors created an agarose phantom with gas vesicles embedded to estimate the ultra-high frequency ultrasound pressures based on the observed collapse of the gas vesicles. They first validated their approach using a 40 MHz transducer, comparing hydrophone measurements to the gas vesicle collapses and achieved <2% difference. Then, they estimated the pressure output of transducers up to 375 MHz. While this paper applies directly to acoustic microscopy, it relates to many areas in biomedical acoustics where researchers are investigating new ways to calibrate systems – particularly those used clinically where hydrophone measurements are not feasible." |
 Pressure estimation of ultra-high frequency ultrasound using gas vesicles Eric M. Strohm, Di Wu, Dina Malounda, Rohit Nayak, et al.
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From committee chair Jonas Braasch: "It is well executed study based on a compelling idea. I believe it appeals to the broader ASA community and the authors were able to state the main findings in a few sentences." |
Exploring the role of room acoustic environments in the perception of musical blending Jithin Thilakan, Balamurali B T, Otavio Colella Gomes, Jer-Ming Chen, et al.
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| | | From committee chair Michelle Vigeant-Haas: "Konig et al. obtained the perceived relative annoyance of over 200 recordings of electric drones in various operating conditions through a global online listening test with 578 participants. The findings can be incorporated into the design process of drones to optimize between drone performance characteristics and reducing the psychoacoustic metrics found to be most correlated with annoyance." |
Prediction of perceived annoyance caused by an electric drone noise through its technical, operational, and psychoacoustic parameters Ronja König, Laura Babetto, André Gerlach, Janina Fels, et al.
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| | | From committee chair Benjamin V. Tucker: "Formant-based vowel categorization aims to improve cross-lingual vowel recognition by uncovering a vowel's phonetic quality from its formant frequencies and reorganizing the vowel categories in a multilingual speech corpus to increase their consistency across languages. Cross-lingual phone recognition experiments reveal that uniting vowel categories of different languages into a set of shared formant-based categories improves cross-lingual recognition of the shared vowels, but also interferes with recognition of vowels not present in one or more training languages." |
Formant-based vowel categorization for cross-lingual phone recognition Marija Stepanović, Christian Hardmeier, Odette Scharenborg
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| | | | | *Data from the 2024 Journal Citation Reports® Science Edition (Clarivate, 2025). |
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