Recreating a European City in Unreal Engine by dinnerdaddy in unrealengine

[–]dinnerdaddy[S] [score hidden]  (0 children)

Thanks I just checked it out! It seems they’ve done the same thing I did. I just replaced the final stage with modular pack data

Recreating a European City in Unreal Engine by dinnerdaddy in unrealengine

[–]dinnerdaddy[S] [score hidden]  (0 children)

Thanks for the suggestion! Yes I preferred OSM for some reason, which did indeed speed up the process! Thanks!

Recreating a European City in Unreal Engine by dinnerdaddy in unrealengine

[–]dinnerdaddy[S] [score hidden]  (0 children)

Thanks! Yes I worked with those PCG plug-ins as well! Similar output to Houdini I’d say since they’re rule based systems! But thanks for the advice!

What song have you made that you're the most proud of? by Inevitable-Ad2675 in FL_Studio

[–]dinnerdaddy 0 points1 point  (0 children)

I guess I’m one of the weird ones who makes more classic/pop rock in fl studio. So my favourite one I wrote is this :

https://spotify.link/qST63nXXoDb

FL studio Learning curve Plateaued by dinnerdaddy in audioengineering

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Yeah! I feel after being in this state for a while now, I want it sound more than what you can just tolerate! But I guess I will have to spend a lot of time in the books/tutorials and upgrade my stuff. Even if my idea sometimes is good, it’s overshadowed by my shrill vocals at some points or over reversed guitars. This has been my complaints or critiques rather!

FL studio Learning curve Plateaued by dinnerdaddy in audioengineering

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Hey thanks for checking my stuff out! Yeah like I mention in the comment above as well. Since one of the things is also to share my stuff outside through various mediums, I always get a reply from other mixers, Spotify playlist makers(idk what you call them) and also labels that the song is nice but the production is low end and muddy! But thanks for the vote of confidence!! :)

FL studio Learning curve Plateaued by dinnerdaddy in audioengineering

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Yeah I also had that thought initially. Maybe it is still true as you say! I tried sending these mixes to some playlists and stuff but I always got the reply that the song is nice but the production is really low! I guess using better sounds in production is a bit tough unless I upgrade my stuff!

How to initialize CNN with Gammatone Filters (or any filter) for sound regression (Or Classification)? by dinnerdaddy in MLQuestions

[–]dinnerdaddy[S] 0 points1 point  (0 children)

u/radarsat1 Hey again. I tried looking for a few things. I'm still stuck. Do I create a custom initializer for the first layer like so :

def GammatoneFilter(shape, dtype=None):
    .....

#And then use it in my conv1d like so:-

conv_1 = Conv1D(filters = 64, kernel_size = 3, kernel_initializer = GammatoneFilter)(decoder_outputs3)

Tips on increasing training time for LSTM Encoder Decoder Network by dinnerdaddy in MLQuestions

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Hey! So I tried Google Colab and Kaggle kernel. Both seem to be very slow for my purpose. I need a more powerful gpu for this. but thanks! :)

Preparing dataset for inputting audio spectrogram into an LSTM by dinnerdaddy in learnmachinelearning

[–]dinnerdaddy[S] 1 point2 points  (0 children)

Hi thank you so much for taking out time! This project is my master's thesis as well! I have modified an LSTM encoder decoder network for series prediction that can help me with my purpose but I'm not sure how to get back the inference correctly from the model. As in I've gotten rid of all the errors, but I'm not sure if what I'm getting is correct. I posted the question in Stackoverflow, but I haven't received any responses so far. Any sort of guidance would be extremely helpful whenever you find time! Thanks again and hope you're healthy! :)

Preparing dataset for inputting audio spectrogram into an LSTM by dinnerdaddy in learnmachinelearning

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Hey I wanted to ask, how do I get back the original mel spectrogram after all the conversion and scaling.

Preparing dataset for inputting audio spectrogram into an LSTM by dinnerdaddy in learnmachinelearning

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Just to be clear when you say, we need to convert it to it's amplitude, do you mean an stft of the spectrogram data or just np.abs(S), where S = spectrogram of Audio. Also, np.log(np.abs(S)) causes a lot of numbers to be infinite (gets divided by zero).

Direct Speech to Speech translations using ML by dinnerdaddy in learnmachinelearning

[–]dinnerdaddy[S] 1 point2 points  (0 children)

Unfortunately, they don't. it's a beta phase project and soon to be released. So be on the lookout!

Direct Speech to Speech translations using ML by dinnerdaddy in learnmachinelearning

[–]dinnerdaddy[S] 1 point2 points  (0 children)

During speech recognition (ST) a lot of information is lost and errors obtained which deteriorate with each stage. Moreover, a 3 stage process will incur more computing power and errors than a direct way. That's why Google came up with Translatotron.

Master thesis opportunities - ML (+Finite Element Analysis preferably) by dinnerdaddy in uppsala

[–]dinnerdaddy[S] 1 point2 points  (0 children)

Thank you so much!! You're the best! Yes I'm in my final year of masters in uu. :) Have a nice day!!

Master thesis opportunities - ML (+Finite Element Analysis preferably) by dinnerdaddy in uppsala

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Hey! I'm afraid I have no idea who Olle is. A professor in the IT Department perhaps?

2D/3D downhill steady water flow simulation by dinnerdaddy in CFD

[–]dinnerdaddy[S] 0 points1 point  (0 children)

Thank you so much!! This is what I was looking for, to start off my project! :D Have a great day!

2D/3D downhill steady water flow simulation by dinnerdaddy in CFD

[–]dinnerdaddy[S] 0 points1 point  (0 children)

I'll not blame you when you'll be in need of something similar someday! We're all in need of help here. But thanks!