NOVEL TECHNIQUE OF CUSTOMIZING THE AUDIO FADE-OUT SHAPE
Lucian LUPŞA-TĂTARU
lucian.lupsa@unitbv.roDepartment of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, “Transilvania” University of Braşov, Bd. Eroilor No. 29, Braşov, RO-500036 (Romania)
Abstract
The fade-out sound effect designates a strict decreasing of the volume of an audio signal, starting from the detected initial level down to silence. Audio fade-outs are usually processed in off-line mode that is within audio editors, by employing different transcendental functions to set the time-related evolution of the audio level. However, the proliferation of mobile devices as well as the increasing popularity of web applications, implemented in HTML5/JavaScript, press for computing techniques suitable for real-time processing. In this context, having in view that the computation of the outputs of transcendental functions is very time-consuming, in order to construct the audio fade-out profile, a technique suitable for real-time computing is developed in the present investigation. The suggested technique is validated by means of an implementation in pure JavaScript, put forward with the purpose of immediate testing.
Keywords:
audio fade, fade-out shape, real-time computing, HTML5, JavaScriptReferences
Case, A. U. (2007). Sound FX: Unlocking the Creative Potential of Recording Studio Effects. Burlington, MA, USA: Focal Press.
Corey, J. (2017). Audio Production and Critical Listening: Technical Ear Training. New York, NY, USA: Routledge.
Devlin, I. (2012). HTML5 Multimedia: Develop and Design. Berkeley, CA, USA: Peachpit Press.
Fastl, H., & Zwicker, E. (2007). Psychoacoustics – Facts and Models (Springer Series in Information Sciences). Berlin, Germany: Springer-Verlag. https://doi.org/10.1007/978-3-540-68888-4
Hartmann, W. M. (1998). Signals, Sound, and Sensation (AIP Series in Modern Acoustics and Signal Processing). New York, NY, USA: Springer-Verlag.
Jacobs, I., Jaffe, J., & Le Hegaret, P. (2012). How the open web platform is transforming industry. IEEE Internet Computing, 16(6), 82–86. doi:10.1109/MIC.2012.134
Krause, B. (2008). Anatomy of the soundscape: Evolving perspectives. Journal of the Audio Engineering Society (JAES), 56(1/2), 73–80.
Langford, S. (2014). Digital Audio Editing: Correcting and Enhancing Audio in Pro Tools, Logic Pro, Cubase, and Studio One. Burlington, MA, USA: Focal Press.
Lupsa-Tataru, L. (2017). Shaping the fade-in audio effect with a view to JavaScript implementation. Journal of Computations & Modelling, 7(4), 111–126.
Panagakis, Y., Kotropoulos, C. L., & Arce, G. R. (2014). Music genre classification via joint sparse low-rank representation of audio features. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(12), 1905–1917. https://doi.org/10.1109/TASLP.2014.2355774
Potter, K. (2002). Four Musical Minimalists: La Monte Young, Terry Riley, Steve Reich, Philip Glass (Series: Music in the Twentieth Century). Cambridge, UK: Cambridge University Press.
Powers, S. (2011). HTML5 Media. Sebastopol, CA, USA: O’Reilly Media.
Reiss, J. D., & McPherson, A. (2015). Audio Effects: Theory, Implementation and Application. Boca Raton, FL, USA: CRC Press.
Roederer, J. G. (2008). The Physics and Psychophysics of Music: An Introduction. New York, NY, USA: Springer Science + Business Media. https://doi.org/10.1007/978-0-387-09474-8
WebPlat WG (Web Platform Working Group). (2017). W3C Recommendation for HTML5. W3C technical reports index: https://www.w3.org/TR/html
Authors
Lucian LUPŞA-TĂTARUlucian.lupsa@unitbv.ro
Department of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, “Transilvania” University of Braşov, Bd. Eroilor No. 29, Braşov, RO-500036 Romania
Statistics
Abstract views: 153PDF downloads: 20
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Lucian LUPŞA-TĂTARU, IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING , Applied Computer Science: Vol. 15 No. 2 (2019)
- Lucian LUPŞA-TĂTARU, CUSTOMIZING AUDIO FADES WITH A VIEW TO REAL-TIME PROCESSING , Applied Computer Science: Vol. 15 No. 4 (2019)
Similar Articles
- Wieslaw FRĄCZ, Grzegorz JANOWSKI, INFLUENCE OF HOMOGENIZATION METHODS IN PREDICTION OF STRENGTH PROPERTIES FOR WPC COMPOSITES , Applied Computer Science: Vol. 13 No. 3 (2017)
- Tomasz BULZAK, Zbigniew PATER, Janusz TOMCZAK, NEW EXTRUSION PROCESS FOR PRODUCING TWIST DRILLS USING SPLIT DIES , Applied Computer Science: Vol. 13 No. 3 (2017)
- Sławomir KUKLA, Marek SMETANA, A SIMULATION EXPERIMENT AND MULTI-CRITERIA ASSESSMENT OF MANUFACTURING PROCESS FLOW VARIANTS TESTED ON A COMPUTER MODEL , Applied Computer Science: Vol. 13 No. 2 (2017)
- Svetlana RATNER, Pavel RATNER, DEA-BASED DYNAMIC ASSESSMENT OF REGIONAL ENVIRONMENTAL EFFICIENCY , Applied Computer Science: Vol. 13 No. 2 (2017)
- Łukasz WOŹNIAK, Paweł SURDACKI, Leszek JAROSZYŃSKI, THE NUMERICAL MODEL OF 2G YBCO SUPERCONDUCTING TAPE IN THE WINDINGS OF THE TRANSFORMER , Applied Computer Science: Vol. 13 No. 2 (2017)
- Paweł MAGRYTA, AERODYNAMIC RESEARCH OF THE OVERPRESSURE DEVICE FOR INDIVIDUAL TRANSPORT , Applied Computer Science: Vol. 13 No. 1 (2017)
- Yuriy TRYUS, Nataliya ANTIPOVA, Kateryna ZHURAVEL, Grygoriy ZASPA, INFORMATION TECHNOLOGY OF STOCK INDEXES FORECASTING ON THE BASE OF FUZZY NEURAL NETWORKS , Applied Computer Science: Vol. 13 No. 1 (2017)
- Daniel HALIKOWSKI, Justyna PATALAS-MALISZEWSKA, Małgorzata SKRZESZEWSKA, A MODEL FOR ASSESSING THE LEVEL OF AUTOMATION OF A MAINTENANCE DEPARTMENT USING ARTIFICIAL NEURAL NETWORK , Applied Computer Science: Vol. 14 No. 4 (2018)
- Baldemar ZURITA, Luís LUNA, José HERNÁNDEZ, Federico RAMÍREZ, BOVW FOR CLASSIFICATION IN GEOMETRICS SHAPES , Applied Computer Science: Vol. 14 No. 4 (2018)
- Damian KRASKA, Tomasz TRZEPIECIŃSKI, FINITE ELEMENT BASED PREDICTION OF DEFORMATION IN SHEET METAL FORMING PROCESS , Applied Computer Science: Vol. 14 No. 3 (2018)
You may also start an advanced similarity search for this article.