I just realized that a very similar approach could also be very useful in correcting and reformatting automatic speech recognition transcripts. I made another t

I just realized that a very similar approach could also be very useful in correcting and reformatting automatic speech recognition transcripts. I made another tool recently for making it more pleasant to read the YouTube automatic transcript text: https://news.ycombinator.com/item?id=36777836 https://news.ycombinator.com/item?id=36777836 But even that is much worse than a professionally edited transcript like you might see in a magazine. I just tried uploading the raw transcript to ChatGPT Code Interpreter, and it does an amazing job of reformatting it in nice looking markdown, with speaker identification (automatically done from context) and quotation marks. For example: --- *Lee Kuan Yew*: But when they said, "We are honest, sincere, coming socialists, just like you," I then revealed, onion by onion, I peeled off, broadcast, and I described how I met the plan chief who said he was going to work with me and so on. And it was convincing. When I met the plan, he said, "We'll work together. You win, you release our people from jail." I said, "Yes, I have to do that." So I said, "How do I know you are the boss?" He said, "You have to take my word for it." I said, "Well, I believe this city councilor is one of your men, and he has penetrated David Marshall, who was a Safadi Jew, very bright fellow, a lawyer, non-Communist. And he formed the Workers' Party." I said, "You get him to resign, then I will believe you are the boss." Three weeks later, when I was in London conferencing with the British, I opened the Straits Times, and the child had resigned. God, here was a man whom I had, when I became prime minister, I went to the Special Branch and looked up the files, and there was his picture, wanted on site, and deep in the underground, chased by the police. He could send a message to this fellow he did not know, and the man resigned. So when I disclosed all this, credibility was established. The fight was on. You, in three different languages, when I finish each broadcast, the director of the station couldn't see me, I went into the room and found me lying on the floor, trying to recover my breath. So each speech was interesting. *David Gergen*: Oh, yes. English, Malay, Mandarin, and you try that. --- That suggests to me that I should be able to do something similar using Llama2, although probably not quite as good. This is very exciting to me though, since you would either have to sit there telling ChatGPT to keep doing each section manually and reassemble it, or you would have to spend a fortune on OpenAPI credits to automate it with the API. But with a local LLM you can just leave it running on a spare machine for free.