This software is free with some limitations; in particular, the voices lite are for noncommercial use only, and the track is limited to 4, but you can buy a full version if you are limited; from their site, you can find more information.
I make music only for myself, so I use the light version, and I will show how to run it on Linux, and I also add a simple getting started.
An alternative is QTau but is very old, and his professional level is very low, but it is open source. …
Creare una chiavetta FAT32 con etichetta CONFIG. (Usando linux la ho preparata con GPARTED).
Selezionare la chiavetta corretta usando la list view in alto a destra.
Smontare eventualmente via software la partitura.
Tasto destro e selezionare Formatta come > fat32
tasto destro sulla partizione creata e cliccare Etichetta file system
I want to develop my Zigbee devices for my Smart Home. In particular I use Home assistant and ConBee II to not be dependent from platform proprietary bridge. I see that some kind of sensore are too expensive so I try to get a economic board to develop it.
I put all my small experience on that git repo.
I explain instruction to use with Windows and Linux.
I find the most famous development board with zigbee integrated in XBee but it is expencive and his clone are not available.
So I find the Ebyte E18-MS1-PCB , a board like…
$ sudo apt update
$ sudo apt install build-essential autoconf automake libxmu-dev python3-pygraphviz cvs mercurial bzr git cmake p7zip-full python3-matplotlib python-tk python3-dev qt5-qmake qt5-default gnuplot-x11 wireshark
tar jxvf ns-allinone-3.32.tar.bz2
./build.py --enable-examples --enable-tests
To check whether ns3 installed successfully, use the following commands.
./waf — run hello-simulator
You should get the output as Hello Simulator
./waf — run first
This is the example from the ns-3.32/examples/tutorial/first.cc file which will…
This explain shortly the Generating Piano Music with transformer that create an artificial intelligence that can generate piano music.
In this Notebook you can try the Music Generator by exec all boxes, in partitcular you have therr interesting options:
Sometimes is complex to find a good printer that can work also with linux, but HP printers seams a good choice: this is a guide to configure your HP printer on linux.
Unfortunatly not all the printers work on linux but HP driver seams to work with the whole catalog.
I test this guide to my HP Laser Jet Pro MFP M28a but it probably work on all HP Printers.
Start your printer and wait that some noise from the printer stop.
Connect the usb printer to the usb.
This because it is possible that you do not see it…
This stori is part of the series Zero-Config Audio tricks with Colab you can find there more trik related to audio.
In this article I want to share my notebook that transform a .wav file into midi. This technique use an Artificial intelligence and create only one midi channel. This method is not perfect but you can correct it after manually with muse score , lmms or your favorite DAW/midi editor.
We say that the midy channel is one but you can spleet your audio into different traks with this if you have the instrument that it can spleet.
This is the presentation of a series of stories that want to create colab notebook (so zero-conf for your computer) that can help you with your music productions.
This tools use artificial intelligence and I only create a way to port that to all people though Notebooks. …
This story is part of the series Zero-Config Audio tricks with Colab you can find there more trik related to audio.
This is a notebook that implement a zero config spleeter tool that use that library to spleet your audio in different track that can contains vocals, bass, drum, piano and other.
I also made another story in wich I install it and I use from a linux pc. I also made a simple GUI. If you are interested you can find it there.
You can use at this notebook and login with your google account to use this function.
I just write how to compile tensorflow with GPU support in a older post, but recently I have to apply it on a device that have less power and the pip version of tensorflow does not work out of the box. In particular I am on a teclast x4 with linux but this guide can be used also from a raspberry pi user or fot other similar devices.
This guide is build as a note after testing it in a linux environment (Linux Mint 20.1) but I think that the same can be done also with other operating system.