I’ve been using Speech Note (github link) for months, but it often gets things wildly wrong.
I thought it was my mic, so I got one that’s crystal clear. I also tried a ton of different models, and other than being slow (or fast), their accuracy is usually pretty similar.
But I’m still needing to take a lot of time to edit the results, and I wonder if there’s something I should be doing to get better results.
On other speech-to-text platforms (like Futo keyboard on Android), the results are fast and very accurate. I have a hard time believing that Speech Note can’t be as good.
Can any other users share their experience?
I’ve used it for a short while to test it out. Accuracy was pretty good, as was correct punctuation. Response time also good.
It’s using my Nvidia GPU to do the LLM thing, so that may be the difference.
I’m not a native English speaker, but neither people nor other robots have problems understanding me - in person or over a microphone. Speech Note hadn’t shown good results, unfortunately. I really wanted to use it, because on my Android phone I use voice input all the time.
I really wanted to use it, because on my Android phone I use voice input all the time.
That’s why I’m thinking it’s a problem with Speech Note and not my mic, or how I’m speaking to it.
That’s a real shame. I can type quite fast, but my hand joints called it quite a while ago. 😵
Had enough issues with it to not find it helpful. But I’m not a native English speaker and support for my local language is so-so, so might as well be me that’s the problem.
I haven’t used Speech Note, but I have been using Whisper with great success. I run it via Docker.
Try a few different accents out - but I’ve never had better than a 95% success rate myself
