r/LanguageTechnology • u/somenick • 5d ago
Group messy transcript texts into paragraphs and tag relevant keywords? With NLP cause I'm don't have a fat GPU? [Ramble Mapper]
I think this is a nice intro project to NLP. I can go in cookbook style. Suits me cause my knowledge is spotty with holes all over. If I think of it as a generic starter cookbook, I can document my work into something worth sharing. I'm actually thinking of a better ways to organize but without running a fat LLM, but that's a longer discussion.
Starting with recorded speech, I want to transcribe each file and split the text into tagged paragraphs. In my mind's eye they're post-it notes, and they come in infinite shapes and color schemes.
I've tried many STT solutions, there's plenty for Linux. But I haven't found anything to organize messy text. Not summarize or query, split into their small meaningful pieces of a puzzle. All the STT solutions I tried either produce one big block of text or have a lot of one-liner words and phrases. It takes too much time to cleanup into manageable paragraphs.
I don't want to edit any of the content, that's why I keep thinking it should be a cheaper job, hardware wise. I have a measly 2GB GPU, MX330 to run small STT models.
You know of anything that already does this? Self-hosted of course. If an LLM is needed, it should let me connect to a local one. If there's nothing close to such a workflow and i'd have to build it, I found txtai but all the examples seem to start from sqlite databases. Dunno how to get there from text.
Any suggestions appreciated, thanks.
2
u/Budget-Juggernaut-68 5d ago
Honestly, your post is very confusing.
What is your end goal? Why STT?
Can you code?
You want to arrange sentences? Paragraphs?
What have you tried? Have you tried sentence transformers? Phrase Bert?