Streamlining Radio Production using AI

Podcasting is over 20 years old – and Podnews’ James Cridland wants to celebrate that. But not only that – he wanted to explain the evolution of this “new” form of audio content. As not only is AI generated content the new star of video production, it can also be incredibly useful for audio content. Demonstrating the use of AudioStack to write, record and produce a small ad for the RadioDays Europe on the fly, James showed the potential of cloned voices for Radio and Podcasts.

Automatically creating advertisements, AI can help in playing actually relevant ads while reducing the workload to do so by a large amount. For radio stations, generating VoxPops without having to actually go out and talk to people can be a way to speed up the production process by a lot.

Ai can not only help by generating audio, but by transcribing it as well. Different programs can be fed data from single podcast episodes to entire audio archives. This can help in transcribing podcasts for hearing impaired people or just make it easy to skip to a scene you want to listen to. Or for radio stations, it can give the opportunity to archive the entire radio stations broadcast.

Cridland continued by showcasing a list of different AI-based tools for content creating. From tools helping to optimize your videos, automatically creating small clips of important parts of your recording, specifically created for Instagram or TikTok or removing delay in online voice chats.

Using The Beatles’ latest song “Now and Then” as an example, James showcased different softwares for separating different audio-tracks, splicing vocals from instrumentals. This technology was used to isolate John Lennons voice to record this last Beatles song and allowed James to end his talk.

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