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Gwangju Institute of Science and Technology t

With the use of artificial intelligence (AI), acoustic recognition techniques can excel in listening and interpreting various sounds in different contexts. Now, a research team from the Gwangju Institute of Science and Technology (GIST) has made significant strides in enhancing the performance of acoustic recognition to achieve diverse audio intelligence. Their groundbreaking work bagged the top spot in the indoor acoustic event detection category at "DCASE Challenge 2023" organized by IEEE. ....

Hongguk Kim , Institute Of Electrical , Gwangju Institute Of Science , International Challenge On Detection , Department Of Electrical , Audio Intelligence Lab , Hanwha Vision Ai Lab , Electronics Engineers , Processing Society , Acting President Rae Gil Park , International Challenge , Acoustic Scenes , Signal Processing Society , Ji Won Kim , Sang Won Son , Yoon Ah Song , Professor Hongguk Kim , Il Hoon Song , Jeong Eun Lim , Hanwha Vision , Director Seung In , Indoor Acoustic Event Detection , Gwangju Institute ,

Introducing Pedalboard: Spotify's Audio Effects Library for Python : Spotify Engineering

Introducing Pedalboard: Spotify's Audio Effects Library for Python : Spotify Engineering
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Peter Sobot , Spotify Audio Effects Library For Python , Spotify Audio Intelligence Lab , Introducing Pedalboard , Audio Effects Library , Staff Machine Learning Engineer , Audio Intelligence Lab , Ableton Live , Audio Unit ,