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Evangelista, Gianpaolo
Publications (10 of 42) Show all publications
Evangelista, G. (2013). Fractal Modulation Effects. In: Proc. of Digital Audio Effects Conference (DAFx `06): . Paper presented at Digital Audio Effects Conference 2006 (pp. 101-106). Montreal, Canada: DAFx
Open this publication in new window or tab >>Fractal Modulation Effects
2013 (English)In: Proc. of Digital Audio Effects Conference (DAFx `06), Montreal, Canada: DAFx , 2013, p. 101-106Conference paper, Published paper (Refereed)
Abstract [en]

Fractal modulation is obtained by forming a power weighted superposition of scaled and modulated versions of the signal. The resulting signal is self-similar with fractal characteristics. In this paper we explore fractal modulation as a powerful method to generate rich signals, useful both for the synthesis of complex sounds, like the sounds from natural events or ecological sounds, or as control functions of audio effects. The wavelet transform can be used as an efficient tool in order to generate a subset of fractal modulated signals that are power homogeneous. Any signal used as a seed for fractal modulation is transformed into a multiscale sound by means of a tree-structured multirate filter bank. Moreover, by superimposing a structured modulation scheme one can generate pseudo-periodic sounds whose partials have fractal behavior.

Place, publisher, year, edition, pages
Montreal, Canada: DAFx, 2013
Keyword
fractal modulation, wavelets, digital audio effects, sound technology
National Category
Engineering and Technology Signal Processing
Identifiers
urn:nbn:se:liu:diva-34752 (URN)23077 (Local ID)23077 (Archive number)23077 (OAI)
Conference
Digital Audio Effects Conference 2006
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-12-08
Bock, A., Lang, N., Evangelista, G., Lehrke, R. & Ropinski, T. (2013). Guiding Deep Brain Stimulation Interventionsby Fusing Multimodal Uncertainty Regions. In: : . Paper presented at IEEE Pacific Visualization, 26 February - 1 March 2013, Sydney, Australia (pp. 97-104). IEEE conference proceedings
Open this publication in new window or tab >>Guiding Deep Brain Stimulation Interventionsby Fusing Multimodal Uncertainty Regions
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2013 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Deep Brain Stimulation (DBS) is a surgical intervention that is known to reduce or eliminate the symptoms of common movement disorders, such as Parkinson.s disease, dystonia, or tremor. During the intervention the surgeon places electrodes inside of the patient.s brain to stimulate speci.c regions. Since these regions span only a couple of millimeters, and electrode misplacement has severe consequences, reliable and accurate navigation is of great importance. Usually the surgeon relies on fused CT and MRI data sets, as well as direct feedback from the patient. More recently Microelectrode Recordings (MER), which support navigation by measuring the electric .eld of the patient.s brain, are also used. We propose a visualization system that fuses the different modalities: imaging data, MER and patient checks, as well as the related uncertainties, in an intuitive way to present placement-related information in a consistent view with the goal of supporting the surgeon in the .nal placement of the stimulating electrode. We will describe the design considerations for our system, the technical realization, present the outcome of the proposed system, and provide an evaluation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-92857 (URN)10.1109/PacificVis.2013.6596133 (DOI)000333746600013 ()978-146734797-6 (ISBN)
Conference
IEEE Pacific Visualization, 26 February - 1 March 2013, Sydney, Australia
Funder
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterSwedish Research Council, 2011-4113
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2018-01-11
Baravdish, G., Evangelista, G., Svensson, O. & Sofya, F. (2012). PDE-SVD Based Audio Denoising. In: Proceedings of the 5th International Symposium on Communications Control and Signal Processing (ISCCSP), 2012: . Paper presented at 5th International Symposium on Communications Control and Signal Processing (ISCCSP), Rome, Italy, 2-4 May 2012 (pp. 1-6). Piscataway, NJ, USA: IEEE
Open this publication in new window or tab >>PDE-SVD Based Audio Denoising
2012 (English)In: Proceedings of the 5th International Symposium on Communications Control and Signal Processing (ISCCSP), 2012, Piscataway, NJ, USA: IEEE , 2012, p. 1-6Conference paper, Oral presentation only (Refereed)
Abstract [en]

In this paper we present a new method for denoising audio signals. The method is based on the Singular Value Decomposition (SVD) of the frame matrix representing the signal inthe Overlap Add decomposition. Denoising is performed by modifying both the singular values, using a tapering model, and the singular vectors of the representation, using a nonlinear PDE method. The performance of the method is evaluated and compared with denoising obtained by filtering.

Place, publisher, year, edition, pages
Piscataway, NJ, USA: IEEE, 2012
National Category
Signal Processing
Identifiers
urn:nbn:se:liu:diva-78784 (URN)10.1109/ISCCSP.2012.6217853 (DOI)978-1-4673-0274-6 (ISBN)
Conference
5th International Symposium on Communications Control and Signal Processing (ISCCSP), Rome, Italy, 2-4 May 2012
Available from: 2012-06-27 Created: 2012-06-20 Last updated: 2016-05-04Bibliographically approved
Evangelista, G., Dörfler, M. & Matusiak, E. (2012). Phase vocoders with arbitrary frequency band selection. In: Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark. Paper presented at 9th Sound and Music Computing Conference (SMC 2012), Copenhagen, Denmark, 11-14 July 2012 (pp. 442-449).
Open this publication in new window or tab >>Phase vocoders with arbitrary frequency band selection
2012 (English)In: Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark, 2012, p. 442-449Conference paper, Published paper (Other academic)
National Category
Signal Processing
Identifiers
urn:nbn:se:liu:diva-91448 (URN)
Conference
9th Sound and Music Computing Conference (SMC 2012), Copenhagen, Denmark, 11-14 July 2012
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-02
Evangelista, G. (2012). Physical Model of the Slide Guitar: An Approach Based on Contact Forces. In: Proceedings of Audio Engineering Society Convention 132. Paper presented at Audio Engineering Society Convention 132.
Open this publication in new window or tab >>Physical Model of the Slide Guitar: An Approach Based on Contact Forces
2012 (English)In: Proceedings of Audio Engineering Society Convention 132, 2012Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we approach the synthesis of the slide guitar, which is a particular play mode of the guitar where continuous tuning of the tones is achieved by sliding a metal orglass piece, the bottleneck, along thestrings on the guitar neck side. The bottleneck constitues a unilateral constraint for the string vibration.Dynamics is subject to friction, scraping, textured displacement and collisions. The presented model is physically inspired and is based on a dynamic model of friction, together with a geometrical model of the textured displacements and a model for collisions of the string with the bottlenck. These models are suitablefor implementation in a digital waveguide computational scheme for the 3D vibration of the string, where continuous pitch bending is achieved by allpass filters to approximate fractional delays, friction is captured by nonlinear state-space systems in the slide junction and textured displacements by signal injection at avariable point in the waveguide.

National Category
Media Engineering
Identifiers
urn:nbn:se:liu:diva-78782 (URN)
Conference
Audio Engineering Society Convention 132
Available from: 2012-06-27 Created: 2012-06-20 Last updated: 2012-06-27Bibliographically approved
Bock, A., Lang, N., Evangelista, G., Lehrke, R. & Ropinski, T. (2012). Supporting Deep Brain Stimulation Interventions by Fusing Microelectrode Recordings with Imaging Data. In: : . Paper presented at Visual Computing for Biology and Medicine.
Open this publication in new window or tab >>Supporting Deep Brain Stimulation Interventions by Fusing Microelectrode Recordings with Imaging Data
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2012 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-128014 (URN)
Conference
Visual Computing for Biology and Medicine
Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2018-01-10Bibliographically approved
Li-xia, H., Evangelista, G. & Zhang, X.-y. (2011). Adaptive bands filter bank optimized by genetic algorithm for robust speech recognition system. Journal of Central South University of Technology, 18(5), 1595-1601
Open this publication in new window or tab >>Adaptive bands filter bank optimized by genetic algorithm for robust speech recognition system
2011 (English)In: Journal of Central South University of Technology, ISSN 1005-9784, E-ISSN 1993-0666, Vol. 18, no 5, p. 1595-1601Article in journal (Refereed) Published
Abstract [en]

Perceptual auditory filter banks such as Bark-scale filter bank are widely used as front-end processing in speech recognition systems. However, the problem of the design of optimized filter banks that provide higher accuracy in recognition tasks is still open. Owing to spectral analysis in feature extraction, an adaptive bands filter bank (ABFB) is presented. The design adopts flexible bandwidths and center frequencies for the frequency responses of the filters and utilizes genetic algorithm (GA) to optimize the design parameters. The optimization process is realized by combining the front-end filter bank with the back-end recognition network in the performance evaluation loop. The deployment of ABFB together with zero-crossing peak amplitude (ZCPA) feature as a front process for radial basis function (RBF) system shows significant improvement in robustness compared with the Bark-scale filter bank. In ABFB, several sub-bands are still more concentrated toward lower frequency but their exact locations are determined by the performance rather than the perceptual criteria. For the ease of optimization, only symmetrical bands are considered here, which still provide satisfactory results.

Place, publisher, year, edition, pages
Springer Verlag (Germany), 2011
Keyword
perceptual filter banks, bark scale, speaker independent speech recognition systems, zero-crossing peak amplitude, genetic algorithm
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-71640 (URN)10.1007/s11771-011-0877-1 (DOI)000295611900038 ()
Note

Funding Agencies|National Natural Science Foundation of China|61072087|Shanxi Provincial Graduate Innovation Fund of China|20093048|

Available from: 2011-10-27 Created: 2011-10-27 Last updated: 2017-12-08
Evangelista, G. (2011). Physical Model of the String-Fret Interaction. In: Proc. of Digital Audio Effect Conf.. Paper presented at DAFx’11, Paris, 2011 (pp. 345-351.).
Open this publication in new window or tab >>Physical Model of the String-Fret Interaction
2011 (English)In: Proc. of Digital Audio Effect Conf., 2011, p. 345-351.Conference paper, Oral presentation only (Refereed)
Abstract [en]

In this paper, a model for the interaction of the strings with the frets in a guitar or other fretted string instruments is introduced. In the two-polarization representation of the string oscillations it is observed that the string interacts with the fret in different ways. While the vertical oscillation is governed by perfect or imperfect clamping of the string on the fret, the horizontal oscillation is subject to friction of the string over the surface of the fret. The proposed model allows, in particular, for the accurate evaluation of the elongation of the string in the two modes, which gives rise to audible dynamic detuning. The realization of this model into a structurally passive system for use in digital waveguide synthesis is detailed. By changing the friction parameters, the model can be employed in fretless instruments too, where the string directly interacts with the neck surface.

National Category
Media Engineering
Identifiers
urn:nbn:se:liu:diva-78779 (URN)ISBN: 978-2-95403-510-9 (ISBN)
Conference
DAFx’11, Paris, 2011
Available from: 2012-06-27 Created: 2012-06-20 Last updated: 2012-06-27Bibliographically approved
Evangelista, G., Marchand, S., Plumbley, M. D. & Vincent, E. (2011). Sound Source Separation (2ed.). In: Udo Zölzer (Ed.), DAFX: digital audio effects (pp. 551-588). John Wiley & Sons
Open this publication in new window or tab >>Sound Source Separation
2011 (English)In: DAFX: digital audio effects / [ed] Udo Zölzer, John Wiley & Sons, 2011, 2, p. 551-588Chapter in book (Other academic)
Place, publisher, year, edition, pages
John Wiley & Sons, 2011 Edition: 2
National Category
Signal Processing
Identifiers
urn:nbn:se:liu:diva-91451 (URN)978-0-470-66599-2 (ISBN)
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-03
Evangelista, G. (2011). Time and Frequency Warping of Musical Signals (2ed.). In: Udo Zölzer (Ed.), DAFX: digital audio effects (pp. 447-471). John Wiley & Sons
Open this publication in new window or tab >>Time and Frequency Warping of Musical Signals
2011 (English)In: DAFX: digital audio effects / [ed] Udo Zölzer, John Wiley & Sons, 2011, 2, p. 447-471Chapter in book (Other academic)
Place, publisher, year, edition, pages
John Wiley & Sons, 2011 Edition: 2
National Category
Signal Processing
Identifiers
urn:nbn:se:liu:diva-91449 (URN)978-0-470-66599-2 (ISBN)
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-02
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