Seminars

Past talks

Speaker: Marcelo Queiroz
Date and time: Monday, March 19, 2012 - 12:00
Place: Room 267-A, at IME/USP
Abstract:

In these DAFX talks, the main concepts in the field of audio effects processing will be presented, corresponding to the chapters of the book DAFX - Digital Audio Effects (ed. Udo Zölzer). In this first talk, we will present the foundations for digital signal processing: digital signal representation, spectral analysis through Fourier Transform, linear systems, convolution, z transform, FIR and IIR filters.

Speaker: Franziska Leonhardi and Stefan E. Schmidt
Date and time: Tuesday, March 13, 2012 - 12:00
Place: Antonio Gilioli Auditorium, at IME/USP
Abstract:

Professor for Methods of Applied Algebra, Dresden University of Technology, GermanyThis talk gives insight into an interdisciplinary art project by the artist Franziska Leonhardi together with Jonas Leonhardi and Thomas & Stefan E. Schmidt - in collaboration with Immanuel Albrecht & Maximilian Marx et al. from the Institute of Algebra at Dresden University of Technology. Here, a major challenge was a visualization of the oratorio St. Paul by Felix Mendelssohn Bartholdy. The underlying question was how to visualize music and how deaf people can benefit from this.

Franziska Leonhardi, Artist in Fine Arts from Dresden, Germany.
Stefan E. Schmidt, Professor for Methods of Applied Algebra, Dresden University of Technology, Germany

Speaker: Flávio Luiz Schiavoni
Date and time: Sunday, November 13, 2011 - 12:00
Place: -
Abstract:
Speaker: André Jucovsky Bianchi
Date and time: Friday, September 30, 2011 - 16:00
Place: -
Abstract:

Pure Data (Pd) is a realtime signal processing tool widely used for live artistic performances. CUDA is a platform for parallel processing using NVIDIA GPU boards. In this seminar, I will present these technologies and an ongoing work which purpose is to allow for the realtime parallel signal processing using Pd and CUDA.

 

Speaker: Antonio José Homsi Goulart
Date and time: Tuesday, September 27, 2011 - 10:00
Place: Room 259-A, at IME/USP
Abstract:

The possibility of streaming and the ease to download and store music in computers and portable devices make AMGC (automatic music genre classification) systems a must. Systems based on metadata analysis might be unprecise, and classifications are by artist or by album, rather than by each tune. Other systems, such as those that addopt MFCCs, explores rhytmic and timbric content of the songs, being LDA, SVM and GMM the most used classifiers. The main goal of this work is to investigate if wavelet based entropy, fractal dimension and lacunarity are good parameters to represent music signals and provide a good accuracy in an AMGC system based on these concepts, rather than musical information. The classifiers adopted were SVMs and GMMs. Two databases were created for the tests; one based on 3 genres (blues/classical/lounge) and the other on 4 brazilian genres(axé/bossa-nova/forró/samba).

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