While internet is full of AI guru's teaching basics with some slides and a jupyter notebook, this guy actually teaches ML with a production level code. Why are you underrated !!
Could you make a more detailed tutorial? I couldn't find any other videos on how to make an AI Voice Assistant, i really liked the vid altough it was sometimes hard to follow. Would really enjoy a full detailed series on this :D
The best way to learn is to mess with it my dude. Go into the GitHub and read the code, and start writing your own following his example but alter it to suit your tastes .
Amazing video! Finally someone not just showing some random jupyter notebook. I love how you show the real problems: not enough wake word samples, voice streaming, long training times, etc. Continue if possible, I would greatly appreciate it!
At 10:00 you said two words that sound similar, like MOLLY, and FOLLY, FALLEY. If you were to include those 2 or 3 words in your model data under a different category. Then they will never trigger when you say any of those words, except when you say hey wally.
I’m watching this video on my iPad and when you said “Hey Siri”, Siri woke up... By the way, I’d be really interesting in seeing a video in which you explain how to set up a computer to carry out Machine Learning tasks. :)
Awesome! I was looking for a totally offline LAN based smart A.I. like what you just presented Objective: To control everything on my sailboat, take helm, drop anchor, play music or movies from my pi based server and work alongside my autopilot systems and chart plotter. I know often during my voyages I won't be accessing any internet but, I want to have all the same ubiquitous control as a smart home, etc. I am trying to source as much as I can from RU-vid to build a decent system. Keep up the awesome work!
Hey, good day mate, The project that you talked about sounds awesome. I am just checking in to know how the project is coming along and where are you headed with this project currently.
This project looks super cool! I'm a little late to the party, but I think this would be awesome to revisit with the new AI chat tools! Especially something like GPT-Neo or the other open-source implementations.
This video is exactly what I was looking for. All other voice assistant youtube guides use shitty Google services and other proprietary sources. Thank you. Looking forward for next vids on this topic. Also that'd be interesting if you reveal how much time have your machine spent on all that learning.
@@theaihacker777 Was this process mostly fun and enjoyable? If not how did you not give up when it got hard and not get bored and frustrated? Thanks for sharing.
Pretty interesting. For about 2 years I’ve been obsessed with turning my house into an AI assistant. Yet have the voice Overlay of ( BT from titanfall ). Yet pretty hard to do that.
Been watcNice tutorialng your vids for a good few weeks now, learning new sNice tutorialt each day. my worksoftow has improved so much since watcNice tutorialng
DUDE!!!!....You are a total BOSS!!! Thanx man. you are WAAYY better at this instructional thing than established channels/RU-vidrs that (for some reason) have more subscribers, etc. Keep that stuff UP!! You are just the dude I was looking for.
haha i looked the idea up like a year ago thinking it would be cool and everything i found was just "attatch spare phone to a speaker" lol this just showing up in my feed now is so exciting
It’s a shame you didn’t keep this repo up I just got a raspberry pi and this is my intentions but I don’t know enough about ML or engineering to pull it off 😅 thanks for the content!
I haven’t seen the rest yet, but have you thought of creating a blacklist of all the words that sounds like Wally, and that should increase overall accuracy.
Great learning thanks a lot. I have gone through the video completely,if the audio signal is split with a equal diffrence for eg:2 sec then it may result in loss of information as a the split may occur at the middle of word
Im Currentlx using rasphy. Although its pretty neat and does EVERYTHING, it does not leave much room for the very tech savy users. I guess i will tinker a bit with your code and incorperate parts. But i need to replicate my current satellite nodes with printed pcb first. So much todo :D
Why not go in the sequence you already told? Incredible video ! I read a blog of yours on medium about LSTM, quite good explaination. Thanks man for such an awesome stuff .
Nicely done. You need to add a bunch of Molly Dolly ground truth to the training set. That should fix it. It's great that you have it running on a pi. Nevertheless, you are going to need speech recognition, and I'm not sure vosk or deep speech will run on a pi, and if it does, you really don't need a wake word detector model. If the speech recognition model can understand the wake word, that can be your detector model too. The only reason for a wake word detector is to avoid going out to the cloud.
Awesome video! Do you know if the dataset you decide to train it on has to be in .wav format? So close to getting your example working! Let me know if theres somewhere I can ask some questions regarding your code. Again great video man!
Great video. Have you tried the simple solution of adding examples of you saying the close phrases to the training set. Simplest way would be just to add many copies of them to the set and retrain. Possible more robust way would be to add a second stage to the process trained on only your voice.
Hey great tutorial! Looking forward to your written guide! But question/request for you: if I don't have access to expensive deep learning hardware setup like you have here, can you do another separate tutorial series on how to build/train model on say AWS/GCP?
Totally can consider that. But I think there are quite a few tutorials like that out there. Also i would recommend using google colab since it’s free and good enough for small projects
Very nice ideea! It may be a dumb question, but here it goes: can the recorded voice be in other language than english, and by using the same principle get similar results? I'd like to create an assistant that recognizes speech input in real-time and returns information like weather, youtube videos etc.
I don't understand much of this but I think a good way to fix your wake word issue and make it more simple is to just use a speech to text algorithm. Though as I am a noob to AI that may be exacly what you just did :p
Yo i gotta say pretty good vid he only thing that is pretty noticinle is that you watch a lot of Michael reeves and you are inspired by him a lot because a lot of your jokes and very similar setup to his and the video editing style to either way good job just a quick tip that might get you more audience is find you own style which I know you are in the hunt for good luck
Hi Micheal! I greatly appreciate your insightful presentation and the fantastic animations you've created. I'm writing to request your permission to utilize some of your content to supplement my endeavor in spreading the word about transformers. My intention is solely to use some of the animations you've designed, and I assure you that appropriate credit will be given, recognizing you as the source of these materials. Thank you for considering my request.
Although the wake word is an important step to producing this AI assistant. Wouldn't it have been beneficial to begin with speech recognition as it would have helped recognise the wake word?
Have you considered the NVIDIA Jetson Nano or the Jetson Xavier NX? Could be a better and more powerful solution than a humble pi? Looking forward to working through this project though... great videos and git. Happy New Year!
