Transcripts

This page summarizes the projects mentioned and recommended in the original post on /r/tmbhpodcast

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  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
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  • TMBH-Transcribe

  • I used OpenAI's Whisper speech-to-text machine learning model to transcribe all the episodes of the podcast. They are pretty clean. I would guess that they are at least 98% accurate. You can find them here: https://github.com/TMBH-Transcribe/TMBH-Transcribe. I have a couple of different formats. There are raw JSON files that should be fairly easy to convert to any other format. These JSON files have the raw transcription data, metadata for the podcast episode, and raw XML from the RSS feed XML. Beyond this, there are also SmartTranscripts in HTML and Javascript that play the audio and highlight the text playing.

  • lunr.js

    A bit like Solr, but much smaller and not as bright

  • Would anyone be willing to help make this more accessible and clean? I have some front-end dev experience, but it would be cool to work together with people to make sure we have something that makes sense and looks nicer than what I could do myself. As for functionality, searching on GitHub directly seems to work pretty well, but it might be better to have a page and a search feature maybe using something like Lunr. I would also like to create some sort of easy "API" in case Matt wants to embed some transcripts on his website. It would be cool if it would be as easy as just adding a blank div with a special id and a data attribute with the episode number on the Squarespace page.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

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