AES Section Meeting Reports

U.K. - July 20, 2021

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Automatically understanding the content of audio data is useful for audio indexing, target-based distribution of media, and intelligent remixing. It includes audio segmentation, which divides an audio signal into homogenous segments like music or speech. This talk explains how to develop a state-of-the-art segmentation algorithm by combining deep learning techniques and artificial training set synthesis.
In addition, we present a novel idea for real-time radio remixing. It is a customised radio that plays diary reminders and music from the user's playlist. Using audio segmentation, we ensure that transitions between live radio and the remixed content are seamless.
This talk is part of the RadioMe project

More About U.K. Section

AES - Audio Engineering Society