Algorithmic jazz & classical music, automated record label using python, more..
Details
It's a pleasure to announce our first meetup on April 9th, 2015. This meetup will consist of demos of algorithmic music, code, and open discussion about the topic. Please, sign up early since space is limited.
We will start presentations at around 7:00PM, and continue for about 1 hr, with time to socialize, ask questions to the presenters, etc.
Talks by:
Luis Queral: Luis Q. is the creator of Jump City Records, an experimental, open-source record label that produces and releases its albums through a series of Python (http://en.wikipedia.org/wiki/Python_(programming_language)) robots (bots). Track titles are generated via links to Wikipedia using a simple stochastic process, and audio is entirely sample-based and using a randomizer. Sample sounds range from field recordings, avant garde / noise albums, among many other sources. Jump City Records was designed by Luis Queral (http://luisquer.al), he has a B.A. in Interaction Design and you can find his open source Python code here (https://github.com/luismqueral/jumpcityrecords).
Tommy Strauser: Tommy is a musician and student in Lawrence, KS. He writes Max patches and Python scripts to assist in both the analysis and composition of music. His presentation will be on an algorithmically defined mode of human composition, and on the possibility of creating games or rule sets to focus and simplify the process of music making. Tommy also writes music the old-fashioned way, and is currently working on a thesis on the evolution of musical schemata in Western Europe from the 17th to the 19th century.
Luis M. Sanchez, New York: Luis S. is a former Wall Street Quant who specialized in Monte Carlo (http://en.wikipedia.org/wiki/Monte_Carlo_method) simulations, bayesian statistics and time-series analysis applied to optimization of trading and structuring opportunities for hedge funds and investment banks. Luis’s presentation will demonstrate his work in machine learning (http://en.wikipedia.org/wiki/Machine_learning) and simulation applied to music composition: a collection of algorithms he designed and programed which he collectively calls “Artificial Intelligence for Music Composition”. This AI is creating original songs in many styles including classical, jazz, and even techno and has the capability of ‘listening to’ and differentiating several types of musical structure. Luis S. is the Founder and Chief Data Scientist of ttwick (http://ttwick.com/), Inc. a data analytics driven startup developing machine learning applications for B2B and B2C uses. Luis holds an MBA in Finance, a BSc in Engineering, a System’s Analyst degree and is a Python Scientific Stack programmer.
Here are a couple samples of Luis’s work (no humans performed any of the compositions):
Algorithmic jazz & classical music, automated record label using python, more..