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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Does effectiveness drop with podcasts with technical jargon/vocabulary/proper nouns, such as blockchain podcasts?
@calchulus such a great question. Short answer is yes. How much depends on the speaker's diction. That said, it'd be possible to train a model to just your podcast so it'd know all the vocab if you went back and did some error correction. Proper nouns can be tough, especially if they're mixed with another language. E.g. the sample episode on the site is in english but it's about riding bikes in Italy so many of the proper nouns are off.
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@craigcannon would the model be something we'd have to provide or a future level of service package? <3 Would love to see how I could help!
Been looking at doing this for a long time. I even tried putting my files into Google's Cloud Speech API. It sucked.
Instant subscription from me. Looking forward to getting my first episode!
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I'm just hoping this is a fluke and not a scam.
Pros:There aren't any. Great idea, extremely poor execution.
Cons:This says 24 hour turnover...it's been 8 days and zero responses for updates the last two days