Big data is the current hype, the thing you need to do to find the best job in the world. I’ve started using machine learning tools a decade ago, and when I saw this book, it felt like it was answering some concerns I had. Let’s see what’s inside.
I have to say, I was intrigued when I saw the book. Lots of things about music seem intuitive, from movies to how it makes us feel. And the book puts a theoretical aspect on it. So definitely something I HAD to read.
While following a discussion on KVR, I thought about adding support for denormals handling in Audio Toolkit
I have now some time to play with this baby:
The CPU may not be blazingly fast, but I hope I can still do something with it. The goal of this series will be to try different algorithms and see how they behave on the platform.
I’ve started working on porting some Python libraries to Python3, but I required using an old Visual Studio (2012) for which there is no Python3 version. In the end, I tried following this tutorial. The issue with the tutorial is that you are downloading the externals by hand. It is actually simpler to call get_externals.bat from the PCBuild folder.
Be aware that the solution is a little bit flawed. pylauncher is built in win32 mode in Release instead of x64. This has an impact on deployment.
Once this is done, I had to deploy the build to a proper location so that it is self contained. I inspired myself heavily from another tutorial by the same author, only adding 64 bits support in this gist.
Once this was done, time to build Boost.Python! To start, just compile bjam the usual way, don’t add Python options on the command line, this will utterly fail in Boost.Build. Then add in user-config.jam the following lines (with the proper folders):
using python : 3.4 : D:/Tools/Python-3.4.5/_INSTALL/python.exe : D:/Tools/Python-3.4.5/_INSTALL/include : D:/Tools/Python-3.4.5/_INSTALL/libs ;
This should build the debug and release mode with this line:
.\b2 --with-python --layout=versioned toolset=msvc-11.0 link=shared stage address-model=64
.\b2 --with-python --layout=versioned toolset=msvc-11.0 link=shared stage address-model=64 python-debugging=on
Sometimes I forget that I have to work with teams, whether they are virtual teams or physical teams. And although I started working on understanding the culture map, I still have to understand how to efficiently work in a team. Enters the book.
I’m happy to announce the release of a mono transient splitter based on the Audio Toolkit. They are available on Windows and OS X (min. 10.11) in different formats.
When I started reviewing the diode clippers, the goal was to end up modeling a triode simple preamp. Thanks to Ivan Cohen from musical entropy, I’ve finally managed to drive the proper equation system to model this specific type of preamp.
After my transient shaper, some people told me it would be nice to have a splitter: split the signal in two tracks, one with the transient, another with the sustain. For instance, it would be interesting to apply a different distortion on both signals.
There are so many different distortion/overdrive/fuzz guitar pedals, and some have a better reputation than other. Two of them have a reputation of being closed (one copied on the other), and I already explained how one of these could be modeled (and I have a plugin with it!). So let’s work on comparing the SD1 and the TS9.