![]() The Deepfake Threatĭeepfakes are fake videos or audio recordings that look and sound just like the real thing. And for this reason this tech is likely to become commonplace within podcasting as the cost price comes down over the coming years.īut one of the main concerns raised by AI software like Overdub relates to the issue of audio deepfakes. Most producers would love the ability to create flawless audio without all the tedium of having to cut and paste from loads of different audio files.Ĭompared to AI podcast tools like transcriptions, this represents a huge leap forward in this space. Ultimately, this will make it easier than ever before for podcasters to make corrections to their content. Once enough input data has been gathered, then it’s ready to use whenever needed. Podcasters can train the Overdub machine learning algorithms by reading a series of randomly generate sentences out loud. Mainly because it has the potential to completely overhaul the traditional editing process.ĭescript’s Overdub tool allows you to create an AI podcast voice double that can be used to overdub flubbed words or phrases and can even generate entirely new sentences on its own - all in your voice. While this feature is no doubt extremely useful, it was another of Descript’s tools that generated most interest from podcasters following their announcement. Delete a sentence or two, and Descript will automatically shorten the file to make the recording sound smooth and natural. Here’s how it works:ĭescript turns your audio into text, broken up by who’s speaking, and it then lets you manipulate those audio files as if you were editing a text version of the script in a word processor. Notably, it gives you the ability to easily edit audio file as if you were editing a word document. Multimedia editing and transcription provider Descript recently announced a redesigned version of its audio editing software designed specifically for podcasters.ĭescript Podcast Studio incorporates lots of forward-thinking features and tools. Revolutionising Audio Editing Through AI Voice Doubles But that’s now changing thanks to a new generation of AI podcast tools being developed by companies like Descript. Transcripts aside though, there haven’t been many other widely-used applications for AI in podcasting. And with a bit of editing, automatic transcripts can also be turned into long-form blog posts, helping to funnel SEO traffic back to the original episode recordings. They are particularly handy for quickly reviewing episode content and drafting accurate, time-stamped show notes. Having easy access to transcripts benefit podcasters in a number of ways. And while speech recognition tech isn’t 100% accurate yet, it continues to improve by the day. Such features have been made possible thanks to developments in machine learning and natural language processing (NLP).
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