31–40 of 45 posts
I don't have any experience with Python. Can someone point me to definitive (and idiot-proof) tutorials for Win 10 Pro and Mac OS? Maybe using Docker? I just don't know but am willing to try. I'd rather ask here than be subjected to a search and its SEO hell (read: SERPs of questionable results). Or perhaps there's a way to use Digial Ocean or similar so I'm not tying up my local machine?
You might want to look into diarization also http://gladia.io/ seem to be doing it well. It makes a great difference to have transcripts with speaker annotation.
Wow, why are they so expensive? Like even the regular whisperAPI by OpenAI is less expensive. This is also why I decided to create https://www.betterwhisperapi.com/ . I believe most of the companies are charging pretty insane amounts for transcriptions...
I could've sworn I had seen a Google/YouTube announcement somewhere that there was going to be readable/searchable transcripts coming. Is it what's already been rolled out? The current YouTube transcripts seem almost useless to me; limited to a small part of the screen real estate, and seem only searchable using the full page search built into web browsers.
You might want to look into diarization also http://gladia.io/ seem to be doing it well. It makes a great difference to have transcripts with speaker annotation.
Thanks, I haven’t seen an easy and reliable way to do this using open source stuff yet. Theoretically just separating out speakers seems like it wouldn’t be that hard; just compute a bunch of FFTs to arrive at a sort of frequency-based “voice fingerprint” for each speaker and then use something like XGboost to match up the audio for each second to one of the speakers. The problem is then what do you with that informa…
I don't have any experience with Python. Can someone point me to definitive (and idiot-proof) tutorials for Win 10 Pro and Mac OS? Maybe using Docker? I just don't know but am willing to try. I'd rather ask here than be subjected to a search and its SEO hell (read: SERPs of questionable results). Or perhaps there's a way to use Digial Ocean or similar so I'm not tying up my local machine?
You could ask ChatGPT for help, too!
Earlier quoted context omitted.
I was dismayed to learn that this requires OpenAI API keys for speaker diarization.
Does it? I only see references to HuggingFace api keys so it can do a one time download of some additional models.
Seems obvious, right?
We've been looking at whisper to replace AWS transcribe. It could be that AWS will just roll whisper in as an engine at some point before we get around to it.
Have you thought about spinning this together as a Chrome extension?
Out of curiosity, how does it compare to YouTube’s own generated transcripts?
While it seems YouTube's auto-generated are hit or miss, I wonder if feeding them through an LLM can fix the mistakes and still get the video's idea out of them
This is nice! I like how you've built upon your previous youtube transcript cleaner project and put together something really compelling. Have you thought about spinning this together as a Chrome extension?