Maybe the current progress will help though. Models adjusted by your own dictionary or from postprocessing fixes would be amazing.
Here’s an iOS app to play with it: https://whispermemos.com
It even formats recording as paragraphs by running through GPT.
> Built using transformers.js and the whisper-tiny.en model.
Laparoscopic - that worked fine ;)
Edit: if you have one available, mind sending over a sample deidentified note to my email in profile? I’m working on something.
No, there's no Apple hardware available in my scenario.
Also in medical context, if I can't tell where the data goes, the solution is not usable.
Normally I expect a lot of things that push the limit to not work on iOS, but this one did!
Is there a version of this we can run on ESP32 (arduino) devices?
Not sure if it'll work on an Arduino, but maybe take a look at https://github.com/ggerganov/whisper.cpp -- it works on a Raspberry Pi at least, so resource requirements are fairly minimal
Connecting AudioNodes from AudioContexts with different sample-rate is currently not supported. index-0dae94e71b526640.js:1:2992
Uncaught (in promise) DOMException: AudioContext.createMediaStreamSource: Connecting AudioNodes from AudioContexts with different sample-rate is currently not supported. index-0dae94e71b526640.js:1
Media resource blob:https://www.ermine.ai/e762a6f1-f292-4b23-96e0-8059a7f9d635 could not be decoded. www.ermine.ai
Media resource blob:https://www.ermine.ai/e762a6f1-f292-4b23-96e0-8059a7f9d635 could not be decoded, error: Error Code: NS_ERROR_DOM_MEDIA_METADATA_ERR (0x806e0006)
Would be good if you could pop some kind of alert (literally alert() might do the trick) on an exception just so people don't wait for a couple of minutes before realizing something's gone wrong :)
I think so, yes. The website uses whisper-tiny.en, so I suppose all they need to do is switch to whisper-tiny instead.
Are you aware that whisper.cpp has a WASM-version as well? See https://github.com/ggerganov/whisper.cpp/tree/master/example... - demo at https://whisper.ggerganov.com/
I will have a look at the repository to find out, but maybe someone already looked into it.
SPEAKER A: blah blah
SPEAKER B: blah blah
So it can be used for transcribing phone calls?
Example: 20230406115923.mp3 ==> 20230406115923.txt 20230406083110.m4a ==> 20230406083110.txt
I wish someone would build one and sell it for $10 a copy.
The little "replay your audio capture" <audio> HTML element says "error" but the transcription actually worked.