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Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

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Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#11
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.

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#13
post #8

Out of curiosity, how does it compare to YouTube’s own generated transcripts?

I found the YouTube one to be really bad for my voice and the way I speak - Whisper does it perfectly (using the large dataset).

English is my second language, and I mumble.

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#14
post #4

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...

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#15
post #8

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

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#17
post #8

Out of curiosity, how does it compare to YouTube’s own generated transcripts?

I would say that overall they are much, much better than the auto generated ones from YouTube. If the speaker speaks incredibly clearly and slowly, without slang, etc, then the built in ones are good enough. But in a tougher situation, the biggest whisper model achieves near superhuman accuracy— way better.

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#18
post #11

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.

In the description of videos I see a "Show Transcript" button. I believe this is automatically generated. It's not grouped into sentences though, so there is room for improvement.

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#19
post #4

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…

The whisperX project has most of it covered they are integrating the new v3 model waiting for a ccp GGUF version also there is a workaround for the latest speaker diarization but it has an active user base working on it

https://github.com/m-bain/whisperX

Re: Show HN: Bulk Creation of Transcripts from YouTube Playlists with Whisper

#20
post #10

Hoping this can help me cut down the time I need to use on watching YT videos for uni. Outputting 20-30 mins into a .txt and feeding it to ChatGPT for summarizing. Thanks!

Not sure why people are downvoting.

I can confirm for some types of lectures this is a wholly legitimate approach.

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