New AI-Powered Headphones ‘Cancel’ Only Unwanted Sounds
Researchers from the University of Washington have developed AI-powered headphones that selectively cancel unwanted sounds while preserving desired ones.
Researchers from the University of Washington have developed AI-powered headphones that selectively cancel unwanted sounds while preserving desired ones.
According to the conference organizers, the scientific program will combine “keynotes as well as featured and invited talks with scientific contributions to highlight the wide range of world-class research and hot topics in computational audiology.”
The issue is that in perception we rarely need to hear the exact frequency (or frequency spectrum) of speech or of music. However, we do need to hear the relative differences in spectral cues.
Researchers at Washington University in St. Louis have found that listening to accented speech is harder for the brain to process than native speech, making information harder to remember. Preliminary findings of this study are being presented at the 169th Meeting of the Acoustical Society of America (ASA) in Pittsburgh, Pennsylvania.
Read MoreAt the 168th meeting of the Acoustical Society of America (ASA), held October 27-31 in Indianapolis, researchers from the University of Maryland presented findings from their work on a system of digital speech analysis that assesses depression through changes in speech patterns. Acoustic changes in speech of people with depression could be used to help monitor mental health via a digital app in future.
Read MoreUCLA researchers find that leaders are perceived as authoritarian or benevolent, depending in part on vocal charisma or the frequency characteristics of their voices.
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