On Thu, Jan 19, 2023 at 05:54:40AM +0200, Sampo Syreeni wrote: > Any links towards that? Because, frankly, I've yet to see a *single* > audio-DSP application which crucially relies on deep learning.
https://www.youtube.com/watch?v=duWX4RAFWIo > machine and deep learning could be utililized for spotting point sources > there, even their distance, and quite certainly recurrent neural networks in > time would be well suited towards such a task. In particular if you do Indeed. We have very good understanding of what to expect in acoustic signals and lots of opprtunities to extract environmental features in real-time. Automatic auditory scene analysis is a natural evolution from basic "identifcation" machine listening. Although even that reached some impressive goals the last few years as you can see from Dan Stowell's work on identifying birds [1], and the NN recogniser they built at Cornell [2]. [1] machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/ [2] birdnet.cornell.edu
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