bl_iot_sdk VS whisper

For the Bouffalo Lab and Beken WiFi SoCs we already have SVD files[1] for the WiFi MAC (and likely the PHY too). Both are based on CEVA RivieraWaves IP.

Also you might be able to use it as a SDR for the 2.4GHz band, there appears to be registers to send ADC data to Wireless SRAM. And USB 2.0 High Speed on some of the Bouffalo chips.

1. https://github.com/bouffalolab/bl_iot_sdk/blob/master/compon...

Watching the amount of wailing on BL808 compared t o the rvspace forum, it's hard to say that's a slam dunk for doc. Additionally, contrast https://bbs.bouffalolab.com/ and rvspace and see if 808 is a happy place. (And I dig the 602/702/702/708 families of parts...)

The only thing I could find about WiFi is this, but I haven't had time to test it so far.

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