This is fantastic. I’m a Newbie to Python and neural nets, but your explanations are great and pretty straightforward. Question - what additional steps would I take to run this on my own local device (pi 4)? And what else would I need to do to introduce new commands such as as trigger word and “turn off the lights”? Would I need to create my own audio samples, save them to new folders, and retrain to retrain the model? Thanks for any guidance! (if you couldn’t tell I’m DONE w Google Home latency, recreating my own. Ambitious! Need help!)
This tutorial is great. I find that the key to build accurate model is gathering quality data a lot. And that sounds arduous work. didn't get good result with 200 examples. Edit: I found the model's accuracy is the way poor than I expected. Maybe it's due to the microphone I'm using and it's needed to taken care of before predicting process.
Thank you very much for the tranings. But I think there should be a more complex and more advanced voice recognition, voice classification and similar training series if you see fit. You know, trainings on sound are limited.
What did you do so the program does not picks up ambient noise or actually works with the commands given? it seems the model lacks ambient noise data sets and whenever ran it only keeps spamming the first command, but yours works perfectly, how to achieve this?
Good video, excellent explanation, I have a question, can the same program be trained to recognize only a specific voice? if so, could you explain it to me? I would be very grateful.
@@threepe0 The last time I used this, you were unable to create a custom model and use it. Tensorflow provided you with an already trained model (0-1, left, right) and thats exactly what most people use.
This is an incredibly helpful video.
This is fantastic. I’m a Newbie to Python and neural nets, but your explanations are great and pretty straightforward. Question - what additional steps would I take to run this on my own local device (pi 4)? And what else would I need to do to introduce new commands such as as trigger word and “turn off the lights”? Would I need to create my own audio samples, save them to new folders, and retrain to retrain the model? Thanks for any guidance! (if you couldn’t tell I’m DONE w Google Home latency, recreating my own. Ambitious! Need help!)
This tutorial is great. I find that the key to build accurate model is gathering quality data a lot. And that sounds arduous work. didn't get good result with 200 examples.
Edit: I found the model's accuracy is the way poor than I expected. Maybe it's due to the microphone I'm using and it's needed to taken care of before predicting process.
Thank you very much for the tranings. But I think there should be a more complex and more advanced voice recognition, voice classification and similar training series if you see fit. You know, trainings on sound are limited.
The code on TensorFlow website was changed :(
What did you do so the program does not picks up ambient noise or actually works with the commands given? it seems the model lacks ambient noise data sets and whenever ran it only keeps spamming the first command, but yours works perfectly, how to achieve this?
Can you do a video regarding the newer version? The run interface now has a different code
😊
Good video, excellent explanation, I have a question, can the same program be trained to recognize only a specific voice? if so, could you explain it to me? I would be very grateful.
Can you please post building text to speech models from scratch?
its not working for me
How can it be that in the video it gives nothing with out speaking. While if i run the code from github it predicts random stuff when im not speaking.
On which Tensorflow version this was made? because Colab uses latest, but older one should work without problems.
Is it a customised model (designed for a single person) or it can work on anyone's command
They changed the Code. Could u you do a quick update?
Can i get similar for English alphabets
is it for english voice only?
Got the error: "Could not import the PyAudio C module 'pyaudio._portaudio'."
And couldn't find the solution...
Macbook M1 Pro
I saw a note in other video for M1 :) let me try first :D
i did everything that I found from web. but still i got the error: "symbol not found in flat namespace '_PaMacCore_SetupChannelMap'"
thankyou dude its a hundred percent work for me but after couple minutes it crashed :(
Please provide me the model i need argently I am stuck in it
what is sample_file in here 8:38
same doubt
exactly, i think their is file of recorded audio
See the first line at 5:38 🙂
Its a shame, you cant train your own model.
of course you can
@@threepe0 The last time I used this, you were unable to create a custom model and use it.
Tensorflow provided you with an already trained model (0-1, left, right) and thats exactly what most people use.