ASA Press Releases
The Acoustical Society of America (ASA) Press Room was created by the ASA Public Relations Committee to provide efficient dissemination of information regarding the Society and the field of acoustics to the news media, science writers, and other interested parties. Below are press releases.
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Newsworthy stories from past and present press conferences and publications.
Congratulations to the 2023 Award and Prize Recipients!
The ASA Public Relations Committee offers Science Communication Awards to recognize excellence in the presentation of acoustics to a popular audience.
The pups possess an innate control of their voice and an understanding of rhythm.
Noise levels can negatively impact children and staff but focusing on the sound environment at daycares can help.
Passive acoustic monitoring can characterize the sounds of hydrothermal vents, informing the environmental impacts of deep-sea mining and possibly locating similar sites throughout the solar system.
Capturing consistent room tones and ambience with sound mixing enhances dialogue and draws the audience in.
An experimental music piece can help teach the acoustic concepts of resonance in a more interesting way.
Much like machine learning can create images from text, it can also generate sounds with text-to-audio.
Identifying and characterizing a dust devil on Earth can inform their formation and lifecycles on Mars, where dust storms can make or break missions.
Nashville’s Blackbird Studio C diffuses sound to create an immersive critical listening environment
Laboratory experiments and online surveys seek to understand what characteristics make an impact noise annoying
The NASA Quesst mission will fly a supersonic aircraft over various communities to test noise-mitigating technology.
Modern materials and techniques can revolutionize music and provide access to low-cost instruments like 3D-printed violins for music students.
Microphone sensor and machine learning on a toilet can classify excretion events, identify cholera or other bowel diseases, all without identifiable information.
A new algorithm could spot early signs of respiratory diseases such as Pneumonia in hospitals and at home.