Відео

Hopefully! I used espeak before for other projects... it is pretty horrible by modern standards, but does its job. For this example I used piper TTS - much better quality, but not as fast as espeak.

Oh, and would it speed up Whisper at all? Allowing a larger model to be run?

re: LLMs, not really. The question has been asked many times in different locations, here is one of the replies www.reddit.com/r/LocalLLaMA/comments/1d7shcr/comment/l71q04c re: Whisper: given that it as transformer as well, Hailo are not geared towards this type of NN. but I remember seeing a paper about modifying BERT to be run with Google Coral USB, so... your mileage may wary, but it is going to be very far from plug-n-play

Hard to estimate without knowing the details?

Hello! Thanks for the feedback - it is not actually even my voice though, it is generated with Bark TTS to resemble the voice of HK-47 from Star Wars Knights of the Old Republic :) I made a video about it here ua-cam.com/video/b5g92Kwb7vw/v-deo.html Nevertheless, I'll be re-assessing Robotics Bi-weekly format in near future.

@@Hardwareai lol, okay. Gotcha. I can understand why, I see how it fits the subject matter. I'm an audio professional and work with vocoding, talkbox, voice manipulation too, isn't it a blast?

As recommended. I'll guess - you bricked it :)

@@Hardwareai Didn't brick it - but destroyed the OS on the sdcard. Had to reflash.

Glad I could help!

There is a known issue at the moment: github.com/AIWintermuteAI/whispercpp/issues/88#issuecomment-2171120795 I'll be fixing it once I get back from traveling, beginning of July.

@@Hardwareai Certainly let me know. I'm excited to try it. Happy traveling!! Be safe! >M<

Noted!

That's a hard one. I don't think this one is solved even in commercial STT engines - e.g. google assistant or siri. That would require understanding on sentence context. We might be getting somewhere with multi-modal models, such as GPT4o, but I don't think there is anything available to be run on Raspberry Pi format computer. Also, as a shortcut, perhaps it would be possible to either run a classifier or modify whisper model to output probability of sentence being finished... It's just an idea though, finding out how well will it work is another thing entirely.

python stream.py --model_name tiny.en-q5_1

Well, there is more than one board in the video. Which one are you asking about?

Make Earth Great Again 2028 :) or MEGA

I enjoyed making it :) glad you enjoyed watching it. Trashy clickbait gets the clicks lol

​@@Hardwareai When it comes to "technical" content, core subscribers and consistent viewers who are into the field may not appreciate clickbait or bizarre videos. A sufficiently glamorous title and video may only attract the masses once in a while. May be wrong, but that's how I see it.

@@electric_sand well, I hope I did good enough job for my core subscribers and consistent viewers :)

@@Hardwareai The video was nice. Thank you.

Always welcome

Thank you for leaving this comment! I'm still refining my style to tell the truth. One of the things I was successful recently (I think) is keeping my videos more to the point, with good flow of information. Now it looks to me I was blabbering way too much in my older videos at times. I cut a lot of stuff now on post-processing if I feel the video is overloaded. I plan to make some more storytelling-oriented robotics content next half-year, stay tuned and see how it goes.

With the screen and camera: idle around 1W, under load (NN inference) around 1.5W. Numbers are provided by Sipeed.

Perhaps contact Petoi and ask them if it's possible to simply purchase upgraded servos? The control board and everything else is the same.

😊

Glad you think so!

Unlike birds, these are real!

Can you post this error with detailed steps preceding it and some environment info (OS, architecture) to the Github issues and tag me there?

Glad it was helpful!

Nice! LicheeRV-Nano is based on the same chip, but won't be getting same level of software support, e.g. MaixVision IDE. Theoretically you can develop the same capabilities from scratch using SOPHGO resources.

Thanks! I agree.

MaixCam is absolutely better choice at the moment. Maix-II was nice at the time, but then the chip shortage happened. Current LTS product for Sipeed is MaixCam as they told me.

Спасибо! I will!

You are welcome!

Coming out in two weeks!

I know you man!!😆🤣

Yeah, from what I see the software experience is much better with this one. Sipeed had spent plenty of time (maybe even too much? I will talk about why I think it might be too much in the next video) working on their (C/C++ and Python) SDKs and even homegrown IDE, so many things just work, at least for getting started example 100%. Btw, it is Sipeed board, not Seeed Studio. Seeed probably resells it as well, or at least they used to resell Sipeed boards, but it is a different company, a bit smaller in size.

​@@Hardwareaiyeah, sometimes I get the two companies mixed up:) I'll be looking forward to the next video!

I normally sing raspberri pi tenor, but I can do raspberri pi falsetto as well for comic effect xD Okay, I guess you asked what raspberry pi was I using, not singing. For this video it was Raspberry Pi 4. There is another newer video where I was using Raspberry Pi 5 as well, ua-cam.com/video/3yLFWpKKbe8/v-deo.html

Glad you enjoyed it!

Thanks, will do!

Agreed!

No problem!

And cooking!

One thing I could have improved about my little benchmark script is multiple measurements. First run is always the slowest. Is 5925 ms. for the first run or even for later concurrent runs as well?

@@Hardwareai Ooh that was it, now I get ~600ms. Thanks! Also I got 1.218 sec computation for a 145 seconds talk, I don't know how it works but segmentation takes much longer

Does it though?

Interesting. No, it certainly can run on CPU - I made a follow-up on this video, explaining more about faster-whisper specifically, you can find it on my channel.

I appreciate your appreciation! xD I'd say that I'm already a sensei of sorts... You always can support me on Patreon for some extras, but otherwise simply stay tuned for more videos!

No problem!

Appreciate it!

Glad you enjoyed the video!

Thank you for your support!

Thanks, appreciate it! I'll try it out and compare it - I don't think I'll make a video about it, but maybe a blog article :)