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.
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
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.
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).