193 karma · joined February 23, 2020
<same as above>@gmail.com
https://bsky.app/profile/robmsmt.com
Regards oftentimes forgotten Linux user
The options to make a true opensource assistant that would work in the same capacity as Alexa/Siri/Google (invoked via wakeword) is therefore quite limited. An alternative is to have it listening constantly, maybe as a background service, but this would use up too much battery I suspect.
This is great, one of the barriers to entry before was that you needed to manually open the app. Although I don't see that this resolves the issue of the wakeword/hotword triggered with "Hey Google" ?
I've not heard of Almond, but I have seen the following projects which might be helpful:
- Dragonfly: https://github.com/dictation-toolbox/dragonfly
- Demo: https://www.youtube.com/watch?v=Qk1mGbIJx3s / Software: https://github.com/daanzu/kaldi-active-grammar
Far field audio is usually harder for any speech system to get correct, so having a good quality mic and using it nearby will _usually_ help with the transcription quality. As a long time Linux user, I would love to see it get some more powerful voice tools - really hope that this opens up over the next few years. Feel free to drop me an email (on my profile) happy to help with setup on any of the above.
https://github.com/robmsmt/SpeechLoop
Comparing speech systems can take a long time esp for a dev who doesn't have the background in audio/ml. How do you know which one will work best? Will new shiny transformer model perform well enough? Most end up using one of the big tech companies existing API to throw their data at. Whilst this is convenient, I think that it's a travesty that opensource speech systems have not are not as easy to use. I was hoping to change that to make it easy to evaluate and compare them!
For my particular dataset it worked quite well. It was the best offline ASR that I tried.
Jira+Confluence, circle CI as the CI/CD service Artifactory for binary hosting and GitHub+gitlfs
circle had the lowest friction compared to Jenkins and GitHub actions wasn't out at the time!
I have a friend who I convinced to buy a Thinkpad and stick ubuntu 20.04 on it. Unfortunately he got a more expensive X1 one with an Nvidia Graphics card, it strangely overheats when he needs to charge it and plugs it into the AC. I suspect the power settings are all over the place. I've not had chance to get a log from him yet. How did you "power down" your nvidia card?
It just adds complication for a limit that shouldn't be there anyway.