I've been looking forward to this part of the series the most! I've been trying to create/run a voice assistant locally, and could not figure out how to apply speech recognition without relying on Google's Python module (which i was trying to avoid for privacy reasons, defeating the purpose of making one) and the HMM basics in my Intro to AI course weren't enough to implement it. This is fantastic.
Wow, just discovered your channel. Great work. I'm just starting my journey into Deep learning and speech recognition. Will be following your progress.
Brooo.I really dont know whether u coded this or just took reference from something....idrc u are AMMMMMAAAAZZZZIIINGGGGG.Hats off 2 u.U have a great talent man.......u could be the next ceo of any big fours too....
omg, thank you! every other video I look up on this subject is just an ad for a text-speech readers! thanks for going into such detail about your thought process, buut after looking at the rig you have vs the one I've got ... well. . . if it took you a handful of days, it'd take me a week or two LOL great video! thanks a lot!
This is excellent! (subscribed!) I had to quickly brush up my skills for a project I'm working on (will be open sourcing it soon!) - and this video was short, sweet and to the point! Thanks
Totally awesome. Understood about .5% (that's point 5%). Just got my headset set up in Win 10 and am loving it. You're awesome and I bow to your knowledge and expertise....thanks for the cool vid. It was not wasted on my limited knowledge, but it peaked my interest...thanks again...JT
Wo hooo! This thing for FREE?! And help for us how to make it ours?! This data worth a HUGE amount of money, but you shared it! I'm so much surprised, in the good term! Thanks, thanks, thanks for it!! I really want to make an own Virtual Assistant, so big thanks for this video, for the data and for the help! Be blessed!
Wow that was a pretty neat video but as someone who’s aspiring to be a AI dev can you make a video explains the code in detail like a stepper! Loved it awesome work!
Love your War Machine!. I build my first Pentium Pro Dual Proc decades ago. It had a special powersupply and I had to rig my Generic case to fit the Tyan motherboard!. It ran Linux then.
This is such a amazing video. Congrats! I am wondering about model deployment part. Are you going to share the coding part of ıweb interface? The sound wave and the text that occurs below the sound wave are awesome.
Cool video!!! This will help me a lot with my first NLP project. I wanted to get radio voice data and transcribe it. Any tips on that? Btw you should come up with a more memorable outro! :D
Hey ! I just discovered your channel, nice content ! Your model seems overfitting, I think you should evaluate it on a test data (and not the validation). I would be curious to know how it would perform if you do hyperparameter tuning.
Wow I love it! I do have two questions tho. 1 how did you run it in ur Chrome browser. 2 how did u get the cool visual effects for while u were speaking?
This looks like exactly what I need! Thanks for posting, I'm gunna follow along and watch tonight. One question.. Why are you using the auto generated subs on this video 😂😁
Hi it's a pretty neat tutorial!! thanks a lot for the insight. I just have two questions :- 1. Why did u transpose your data before entering it into LSTM layers? 2. Why have you used MelSpectrogram instead of MFCC coefficients? ( I mean is there some specific reason of doing so?)
because sonopy's function mfcc_spec gives the data reverse. so x axis is the frequency and the y axis is time. But we need the reverse. that's why. Pytorch's MFCC or MelSpecgram automatically gives the data in a way we want but he chose that sonopy because it is really fast. Check this out github.com/MycroftAI/sonopy
Can you have this A.I. system set up to make a journal or blog to provide links in the speech to find materials that you had previously recorded? If so, I would be interested to an adaptive blog that can provide updates to previously mentioned material without hand-stakingly rewriting everything. I really would like to know what materials you used in your audio recordings with this A.I. that made it all the more concise with your objective. I would also like to see how small you might be able to have this computer system since your previous video with Pi.
This seems like something to be done by integrating an assistant like this into another application like Obsidian. They need to be separate. There are lots of ways of passing external data into Obsidian and vice versa.
Thank you for this video and the insight of how to design a voice recognition system independently from the ground up by an newly to AI. Most videos tell you to connect the internet and to a big server by google or someone else. The only question that I have is why use python and not C or C++, especially since you are running a raspberry pi with limited memory and slower CPU and the natural time restraints of real-time speech recognition?
Hi Michael! I am a student and highly interested in AI for building things. It would be great help if you could make a video or share some resources on how to get started.
Hello, I was fascinated with your Speech Recognition System. I wonder, could your system recognize sung musical notes? that is, instead of words, musical notation.
Thank you so much.I got a lot of help with this video. Sir, can you upload a video about calculating "Persentage of voice similarly score?” I will be very grateful to you.🙏
Yo , im a little confused, what do i have to do to get exactly what you did, except i want more hours specifically for me ? Thanks man ! Great vid! I subbed
I've been looking forward to this part of the series the most! I've been trying to create/run a voice assistant locally, and could not figure out how to apply speech recognition without relying on Google's Python module (which i was trying to avoid for privacy reasons, defeating the purpose of making one) and the HMM basics in my Intro to AI course weren't enough to implement it. This is fantastic.
ruclips.net/video/iyl53zyz5zk/видео.html
we need programmers like you. For advance learning.
ruclips.net/video/iyl53zyz5zk/видео.html
this is michael reeves from the universe where he decided to do something useful with his life
LMFAOOOO DIDNT HAVE TO DO HIM LIKE THAT 😭☝️
6:57 yep
Wow, that's mean bro.
ruclips.net/video/iyl53zyz5zk/видео.html
Imagine the greatest Michael colab. The two of them plus Michael Stevens (vsauce)
I'm building my own wearable AI assistant and this series is **exactly** what I was looking for! Great stuff!
Can you make tutorial
ruclips.net/video/iyl53zyz5zk/видео.html
dude no way same
@@PonchoManOG does this tutorial still work?
@@morraza3307 yes
at the beginning of the video: Oh I see !
6:57 : Oh I ... oh ...
This is so good, I remember seeing this video a year ago and wishing he'd continued the series.
Hey man, I really like how you have written definitions in addition to your speaking, helps a lot.
Loved the high speed speech part!. Well done. Excellent production Mike!. TQ
ruclips.net/video/iyl53zyz5zk/видео.html
A Cue Stick - used for playing billiards. Acoustic (a-COO-stick) - dealing with sound or audio energy.
Keep going bro.full support
After watching this video, I literally took off my hat as a mark of respect to this.
Cant thank you enough.
Thanks a million
Wow, just discovered your channel. Great work. I'm just starting my journey into Deep learning and speech recognition. Will be following your progress.
Why aren't you uploading more videos? I have already seen this video just came here to say... plzz upload it's been 7 months now!
Planning on creating my own Jarvis, this video has given me an insight.
Same, I'm going to call mind Alfred and integrate it into my helmet
When next?? Best Series ever!! Please post next!!
I'm enjoying discovering all these smaller ai channels
Parts 3 & 4 haven't materialized in a year. I'd love to see the rest.
yes
Loved the video. You really showed me the tools I could use to build my own speech recognition model!
ruclips.net/video/iyl53zyz5zk/видео.html
Brooo.I really dont know whether u coded this or just took reference from something....idrc u are AMMMMMAAAAZZZZIIINGGGGG.Hats off 2 u.U have a great talent man.......u could be the next ceo of any big fours too....
omg, thank you! every other video I look up on this subject is just an ad for a text-speech readers! thanks for going into such detail about your thought process, buut after looking at the rig you have vs the one I've got ... well. . . if it took you a handful of days, it'd take me a week or two LOL great video! thanks a lot!
i think this is a very good video for me ,It can not only let me learn some knowledge, but also make me feel relaxed.thank you
This is incredibly educational. Thx for sharing ur knowledge for free!
ruclips.net/video/iyl53zyz5zk/видео.html
Can you make a TTS using deep learning? :) I really want to see that.
Loved it Man , Great Video !
Man your a genius man. I wish I could do this. I have some many ideas but dont know where to start.
this series is so cool! keep it up bro
This was insane, gonna try to do similar now, thank you for the informations
This video is so high quality wish you uploaded more
This is awesome! I wish there was more content from you
One Ai hacker to another, keep on going!
bro amazing wrapping on 6:54
Thanks for the information. Just goes to show that the idea that we evolved is just sheer madness.
This was a really good video dude. Can you tell me how to make the soundwave display that you had while testing the model
This is excellent! (subscribed!)
I had to quickly brush up my skills for a project I'm working on (will be open sourcing it soon!) - and this video was short, sweet and to the point! Thanks
Bro you are freaking awesome!!! i love your content, helps a lot.
You Michael Rock!!!! Way to teach!!!
Really dope video. Can't wait to see your next one.
Totally awesome. Understood about .5% (that's point 5%). Just got my headset set up in Win 10 and am loving it. You're awesome and I bow to your knowledge and expertise....thanks for the cool vid. It was not wasted on my limited knowledge, but it peaked my interest...thanks again...JT
Hey Michele, your videos on AI is fantastic! I haven’t seen any videos lately and I am course what you are doing these days?
Wo hooo!
This thing for FREE?! And help for us how to make it ours?!
This data worth a HUGE amount of money, but you shared it! I'm so much surprised, in the good term!
Thanks, thanks, thanks for it!!
I really want to make an own Virtual Assistant, so big thanks for this video, for the data and for the help!
Be blessed!
Wow that was a pretty neat video but as someone who’s aspiring to be a AI dev can you make a video explains the code in detail like a stepper! Loved it awesome work!
Yes pls
ruclips.net/video/iyl53zyz5zk/видео.html
This guy is capable of making a real life JARVIS
There is already. Theres even a python module called JarvisAI and does exactly that.
@@dabomb3864 and how exactly do you know that??
your videos are great bro! 🤝
Wow...who knew you can make AI teaching so much fun....You should make more videos
This man is really a hero 👍💓
Eagerly waiting
Keep going on and finish the project fast. I'm looking ahead for the project to be finished
Hey pal, your work's great I love it 🙌🙌
Omg the video i was looking for thank for making one..... Full support❤
Love your War Machine!. I build my first Pentium Pro Dual Proc decades ago. It had a special powersupply and I had to rig my Generic case to fit the Tyan motherboard!. It ran Linux then.
thank you man... this was fun to watch
what a great video man, really inspiring! keep up the good work!
PS: you deserve a better t-shirt bro 😅
why are the three micheals i know all so smart : Micheal Phi, Micheal Reeves, Micheal from VSauce
This is really nice work dude
This is such a amazing video. Congrats! I am wondering about model deployment part. Are you going to share the coding part of ıweb interface? The sound wave and the text that occurs below the sound wave are awesome.
Hey did you found the code for deployment
This is what i was looking for, thanks
Cool video!!! This will help me a lot with my first NLP project. I wanted to get radio voice data and transcribe it. Any tips on that?
Btw you should come up with a more memorable outro! :D
THIS ONE WAS REALLY FUNNY gj love keep up the uploads :)
Thanks for this..I am going to thoroughly go through the speech recognition your code on Github
The audio kept buggin me, I'd heard it somewhere, then I remembered the Iconic Outros of the Channel Veritasium !!!!!
Hey ! I just discovered your channel, nice content ! Your model seems overfitting, I think you should evaluate it on a test data (and not the validation). I would be curious to know how it would perform if you do hyperparameter tuning.
ruclips.net/video/iyl53zyz5zk/видео.html
Excellent video, you helped me out tremendously
Wow I love it! I do have two questions tho. 1 how did you run it in ur Chrome browser. 2 how did u get the cool visual effects for while u were speaking?
This looks like exactly what I need!
Thanks for posting, I'm gunna follow along and watch tonight.
One question.. Why are you using the auto generated subs on this video 😂😁
Fantastic tutorial! The detail of explanation is remarkable. Nice code editor, which editor is that?
Looks like vs code
ruclips.net/video/iyl53zyz5zk/видео.html
Please post more videos about this!
You are gold💛
Thank you for sharing your knowledge !
This is awesome! thanks man.
Wao, great video man. Really awesome stuff
You are totally awesome bro...👏👏👏
Sorry to inform you, but you pretty much rock, at the same time solved this so I don't have to.
Hi it's a pretty neat tutorial!! thanks a lot for the insight. I just have two questions :-
1. Why did u transpose your data before entering it into LSTM layers?
2. Why have you used MelSpectrogram instead of MFCC coefficients? ( I mean is there some specific reason of doing so?)
because sonopy's function mfcc_spec gives the data reverse. so x axis is the frequency and the y axis is time. But we need the reverse. that's why. Pytorch's MFCC or MelSpecgram automatically gives the data in a way we want but he chose that sonopy because it is really fast. Check this out github.com/MycroftAI/sonopy
ruclips.net/video/iyl53zyz5zk/видео.html
hi great work I just found your channel great job
where tf are you Michael! Need some new videos already! Let's see what you have been up to with your monster rig
Thanks ,
Can you make a tutorial on code implementation of speech recognition.
that would be great.
You can make a video about gait recognition biometrics in python
recognized you from your walk model
Can you have this A.I. system set up to make a journal or blog to provide links in the speech to find materials that you had previously recorded? If so, I would be interested to an adaptive blog that can provide updates to previously mentioned material without hand-stakingly rewriting everything.
I really would like to know what materials you used in your audio recordings with this A.I. that made it all the more concise with your objective. I would also like to see how small you might be able to have this computer system since your previous video with Pi.
This seems like something to be done by integrating an assistant like this into another application like Obsidian.
They need to be separate. There are lots of ways of passing external data into Obsidian and vice versa.
Please upload more!
Bro this is perfect wow thanks
what interesting presentation it is!!!
Great Video!
Hello, when will there be a guide to creating your own speech synthesis?
(TTS)
Thank you for this video and the insight of how to design a voice recognition system independently from the ground up by an newly to AI. Most videos tell you to connect the internet and to a big server by google or someone else. The only question that I have is why use python and not C or C++, especially since you are running a raspberry pi with limited memory and slower CPU and the natural time restraints of real-time speech recognition?
Hi Michael!
I am a student and highly interested in AI for building things.
It would be great help if you could make a video or share some resources on how to get started.
Can you make a detailed video how did you manage to make it. I want to learn it.
Hello, I was fascinated with your Speech Recognition System. I wonder, could your system recognize sung musical notes?
that is, instead of words, musical notation.
Very informative!
THANK YOU!! ✌
Can you put a video about offline speech recognition and text to speech
Good video but are you using Linix at 9:31 and Windows at 9:34? I haven't used Windows in a few years so I didn't know you could do this.
Can you please make a video on making your own speech synthesizer
Your voice is perfect for lend to a robot, don't worry, Im not offending you, its an awesome voice.
Thank you so much.I got a lot of help with this video. Sir, can you upload a video about calculating "Persentage of voice similarly score?”
I will be very grateful to you.🙏
ruclips.net/video/iyl53zyz5zk/видео.html
Yo , im a little confused, what do i have to do to get exactly what you did, except i want more hours specifically for me ? Thanks man ! Great vid! I subbed
Did you start a rap in 6:58? 😂😂😂
Dropping bars
Fantastic Bro 💞
I am late I know but you can make it search the output on the google.com it will be most accurate
Great content dude. I haven't seen anything new for the last 7 months though. Hope you're well :)
Awesome content!
Any plans on continuing this project?