New Frontiers in Audio Machine Learning

Not that long ago, any workflow that involved processing audio files—even a fairly simple task like transcribing a podcast episode—came with a set of tough choices. You could go manual (and waste hours, if not days, in the process), rely on a few clunky and ultimately underwhelming apps, or patch together a Frankenstein’s monster-equivalent of tools and code.

Those days are behind us. The rise of powerful models and accessible AI interfaces has made working with audio and music exponentially …

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