That’s great if you have a long season of 23 episodes, but if you have a documentary, where you’re talking to one person and you’re never going to talk to them again, it’s not practical to go to that effort of training the AI for just that one interview. In my understanding of the process, if you have a series with consistent cast, you can front load samples of their speech patterns, vocabulary, slang, or whatever else, into the AI engine, training it to optimize for that voice. Often, it’s hard to tell whether what someone said was a question or an answer, and that’s actually very important. Simple things like punctuation and how it’s displayed on a page, could use some improvement. However, AI transcription is even less accurate on things like speaker diarization – identifying who’s saying what, when – than the actual words. But it ain’t even close to being accurate in a lot of cases. HAVE YOU TRIED USING AI TOOLS FOR TRANSCRIPTION? It made it faster, made it more efficient, more accurate and really went a long way towards making the whole process a lot more user-friendly. So, that simple bit of automation – having a local place for us to put all the work to be done, really changed our workflow and how we did things. We placed the interviews that we wanted to be transcribed in the watch folder and they were magically taken out of the watch folder, sent to their headquarters and were returned as a Word file or whatever format we needed at the time. Take 1 provided us with a server which basically acts like a watch folder on our network. We primarily just transcribe interviews (not live action footage) with24-48-hour turnaround, and the transcriptions are turned over to our editorial team, story team for them to peruse and select bites and use in the edit. It was very slow, it was scattered and, when I met Dom, he promised that Take 1 would bring more professionalism and automation to the process. We’d send them a VHS tape of an interview and they would transcribe it and send us back a Word document. I met Dom about ten or 12 years ago and, at the time, we were using a wide variety of Mom-and-Pop transcribers.
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