Notating my own slow progress: Editing Python in Visual Studio Code. There are strange impediments, always. It is almost impossible to understand instructions on the first reading. But patience. Who wants to blog about reading the strange prose of tech-splanation? Unless it’s blogging about the strange patience that it takes to read online instructions. So: […]
Monthly Archives: January 2019
Visual Studio Code / Python / TensorFlow
The basic installation of Visual Studio Code is simple enough. Python is setup with Anaconda. This seems to open up a lot of options. Tensorflow also was an easy install. The Python in Visual Studio Code page gives a pithy introduction to the environment, though generating a launch.json file with the red-dotted ‘Settings’ button produced an […]
… and enough theories
so now a step-by-step account of progress. Somethings have been built. Some things need building. All needs description, for my own account and memory, and for anyone in the ether.
Platform
The algorithm has been written in C. This is convenient in that the entirety of it can be reduced to unsigned short integers. Portable and permanent. However — ultimately the vector libraries of Python, along with the power of TensorFlow and other ML resources, must likely be the goal. C/C++ is better for integration with […]
Flocking bits
I think of all this as a sensible introduction to non-binary computing. It is more than just interesting that: 1) a musical, number-theoretical treatment of groups of bits can contain such a vast amount of harmonic information of a more or less intuitive (Jazz-related) type; 2) the problem of indefinite location/identification appears as a problem […]
Doing
Watching people learn instruments, it is hard not to wonder whether some of the beauty of playing lies in the simple fact of its being done — a fact wildly underrepresented in digital music. There is in digital music the fact of things being conceived. But moment-for-moment facts, unpaste-able, in real contact, making sensual sense, […]
Save the Hippocampus
could be a worthwhile slogan.
Canteloupe
Before starting, it is probably important to stress how much making music is like hitting a canteloupe. It is a way of guessing at the content of the invisible inside — much like setting elements on fire to see their spectrum. For this reason, it is probably best to work at bit-level with a computer. […]
Figured Bass
On a small neural-network-like basis, it is possible to write a very precise kind of figured bass. The computer itself can improvise upon it, using a very limited number of input parameters (5 parameters which can be further compressed as a 16-bit byte for transmission). Usefully, in this scheme, each note is not a point […]
Neural
The peculiar thing is that harmony can be represented as a very, very small neural network based on the reconstruction of prime-numbered groups of bits.