Another meeting, another round of amazing student research! This episode, we talk to winners of the POMA Student Paper Competition from the 184th meeting of the ASA about their research into using machine learning to model concert hall reverberation time, the effect of clear speech on memory, noise from the Atlas-V rocket launch, the bridge force exerted on the string of a bowed instrument, and a new approach to underwater acoustic source localization.

Like the episode? Read the associated articles:

• Jonathan Michael Broyles and Zane Tyler Rusk. Predicting the reverberation time of concert halls by use of a random forest regression model. Proc. Mtgs. Acoust.51, 015004 (2023). https://doi.org/10.1121/2.0001751
• Nicholas B. Aoki and Georgia Zellou. When clear speech does not enhance memory: Effects of speaking style, voice naturalness, and listener age. Proc. Mtgs. Acoust.51, 060002 (2023). https://doi.org/10.1121/2.0001766
• Logan T. Mathews, Mark C. Anderson, Carson D. Gardner, Bradley W. McLaughlin, Brooke M. Hinds, Megan R. McCullah-Boozer, Lucas K. Hall, and Kent L. Gee. An overview of acoustical measurements made of the Atlas V JPSS-2 rocket launch. Proc. Mtgs. Acoust.51, 040003 (2023). https://doi.org/10.1121/2.0001768
• Alessio Lampis, Alexander Mayer, Montserrat Pàmies-Vilà, and Vasileios Chatziioannou. Examination of the static and dynamic bridge force components of a bowed string. Proc. Mtgs. Acoust.51, 035002 (2023). https://doi.org/10.1121/2.0001755
• Dariush Kari, Andrew C. Singer, Hari Vishnu, and Amir Weiss. A gradient-based optimization approach for underwater acoustic source localization. Proc. Mtgs. Acoust.51, 022002 (2023). https://doi.org/10.1121/2.0001753

And if you’re a student presenting at the latest meeting in Sydney, don’t forget to submit your POMA to the next Student Paper Competition!