Soundflower VS whisper

If you're on a Mac, there's Soundflower. Though, according to their site, it hasn't been updated for Apple silicon yet.

For Snow Leopard you should have a look at Soundflower. It's the OG tool for recording desktop audio output, and should still work on Snow Leopard (if the version linked doesn't work then you can try building the version from 2008 in the command line, it doesn't seem to be too complicated).

For Windows: VB-Cable (https://vb-audio.com/Cable/) For Mac: Soundflower (https://github.com/mattingalls/Soundflower/releases)

Intel Mac → Soundflower: this virtual audio device will route one app’s audio to another

The first really cool software was Soundflower, but that seems to be limited to Catalina.

If Blackhole isn't working, or you've an older system, instead try Soundflower and follow these directions - even though they're old as grit, it lays out the basics of what you need to do the clearest.

Soundflower is open source but looks a little janky and doesn’t work with M1s yet.

For Mac: install SoundFlower

Install Soundflower from https://github.com/mattingalls/Soundflower/

Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.

Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.

I found a pretty good discussion in the topic here:

https://github.com/openai/whisper/discussions/1243

There is a plot of language performance on their repo: https://github.com/openai/whisper

I am not aware of a multi-lingual leaderboard for speech recognition models.

I don't know how OP does it, but here's how I'd do it:

* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper

* Upload transcript to ChatGPT and ask it to summarize.

* Automate all the above.

Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper

Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.

[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...

> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.

Maybe you can rely on some sort of speaker identification to sort this out?

https://github.com/openai/whisper/discussions/264