I love how you've automated this by plugging into the podcast's RSS feed. How are you transcribing the podcasts?
On a related note, I recently chatted with @goopt about his startup Otter. They've developed impressively accurate voice transcription that's done in real-time using their tech.
@goopt@rrhoover Thanks man! We're using Google's speech to text video model. Of the services I've tried, it provides the best results.
We then split up the speakers by hand, which ends up being a fair bit of work and is why it's 24hrs instead of minutes 😊. It's a workaround at the moment until diarization (the technical term for it) improves. @goopt if you have any insights on diarization I'd love to learn more!
Hey! This project stemmed from SpeechBoard (https://www.producthunt.com/post...) which was a text-based audio editor @ramonrecuero and I made.
We found that many people were just using it for automatic transcriptions so I put this together. Let me know what you think!
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