Continuing the conversation about using #whisper in #podcast production with @choochus
We've been talking about transcribing the backlog. Here's what I do with new shows (n=2, early days).
I record the show. I take the raw unedited file and run whisper on default small model. I use that to write show notes as I edit and put things together.
After mastering, I take the final show and run again on medium model. This is what I put in #Obsidian for future reference.
@AnthonyBaker @choochus Have not done a head to head quality comparison. Since whisper is running locally, it is a much easier thing to automate transcribing a backlog of 600+ shows than would be Otter. I have used it but not paid for it, so I am not exactly sure what it can do on that end.
For me, whisper is "good enough" and runs in the right place to simplify the tasks of finding information encoded in my audio. Others might be as good or better but I don't know that yet.
Dave Slusher
Anthony Baker