Seminars

Python is a multi-paradigm (object-oriented, imperative, functional), general use, high level, interpreted, dynamic typed programming language with a philosophy that emphasizes code readability. Numpy, Scipy and Matplotlib are packages that let the Python use and expressiveness look like languages such as MatLab and Octave. However, the eager evaluation done by these tools make it difficult, perhaps impossible, to use them for real time audio processing. Another difficulty concerns expressive code creation for audio processing in blocks through indexes and vectors. Prioritizing code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and aiming integration with these three great packages as well as default Python structures, AudioLazy is a starting project written in pure Python proposing digital audio signal processing (DSP), featuring a simple synthesizer, analysis tools, filters, biologial auditory periphery modeling, among other functionalities. The presentation will feature simple usage examples, including Matplotlib integration, synthesis and real-time processing.

More on links:
http://pypi.python.org/pypi/audiolazy
https://github.com/danilobellini/audiolazy

In this talk we will present John Chowning's paper entitled "The Synthesis of Complex Audio Spectra by Means of Frequency Modulation" (J. Audio Eng. Soc. 21(7):526-534, 1973). The well-known process of frequency modulation is here brought to a new application domain, where it is shown to result in a surprising control of audio spectra. The technique provides a means of great simplicity to control the spectral components and their evolution in time. Such dynamic spectra are diverse in their subjective impressions and include sounds both known and unknown at the time.