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Journal of New Music Research Volume 36, 2007 - Issue 3: The Future of Sound and Music Computing
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Original Article

Sound and Music Computing: Research Trends and Some Key Issues

Gerhard Widmer Johannes Kepler University Linz, Austria; Austrian Research Institute for Artificial Intelligence (OFAI), AustriaCorrespondence[email protected]
,
Davide Rocchesso IUAV University of Venice, Italy
,
Vesa Välimäki Helsinki University of Technology, Finland
,
Cumhur Erkut Helsinki University of Technology, Finland
,
Fabien Gouyon INESC Porto, Portugal
,
Daniel Pressnitzer CNRS-Université Paris Descartes & Ecole Normale Supérieure, France
,
Henri Penttinen Helsinki University of Technology, Finland; Stanford University, USA
,
Pietro Polotti University of Verona, Italy; Conservatory of Trieste, Italy
&
Gualtiero Volpe University of Genova, Italy
 show all
Pages 169-184 | Published online: 30 May 2008

Citations (15)

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Read on this site (5)

Sandra Pauletto. (2014) Film and theatre-based approaches for sonic interaction design. Digital Creativity 25:1, pages 15-26.
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Regis Rossi Alves Faria. (2011) Profiling New Paradigms in Sound and Music Technologies. Journal of New Music Research 40:3, pages 191-204.
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Nicola Bernardini & Giovanni de Poli. (2007) Preface: Special Issue on the Future of Sound and Music Computing. Journal of New Music Research 36:3, pages 139-141.
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Xavier Serra, Roberto Bresin & Antonio Camurri. (2007) Sound and Music Computing: Challenges and Strategies. Journal of New Music Research 36:3, pages 185-190.
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Marc Leman, Federico Avanzini, Alain de Cheveigné & Emmanuel Bigand. (2007) The Societal Contexts for Sound and Music Computing: Research, Education, Industry, and Socio-Culture. Journal of New Music Research 36:3, pages 149-167.
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Articles from other publishers (10)

Luca Turchet, Flavio Vella & Sandro Luigi. (2023) The potential of high-performance computing for the Internet of Sounds. The potential of high-performance computing for the Internet of Sounds.
Markus J. Buehler. (2023) Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs. Patterns 4:3, pages 100692.
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Francesco Centracchio & Umberto Iemma. (2021) An integrated approach to the direct simulation of brasses in the performance environment. Applied Acoustics 177, pages 107935.
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Sebastian L Franjou, Mario Milazzo, Chi-Hua Yu & Markus J Buehler. (2021) A perspective on musical representations of folded protein nanostructures. Nano Futures 5:1, pages 012501.
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Uma Nair & Gajanan K. Birajdar. (2020) Compressed domain secure, robust and high-capacity audio watermarking. Iran Journal of Computer Science 3:4, pages 217-232.
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Yiqing Lin & Waleed H. AbdullaYiqing Lin & Waleed H. Abdulla. 2015. Audio Watermark. Audio Watermark 1 13 .
Davide Rocchesso. (2014) Sounding objects in Europe. The New Soundtrack 4:2, pages 157-164.
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Steven GelineckStefania Serafin. (2010) A Practical Approach towards an Exploratory Framework for Physical Modeling. Computer Music Journal 34:2, pages 51-65.
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Eoin Brazil. 2010. Auditory Display. Auditory Display 41 67 .
Marc Leman, Michiel Demey, Micheline Lesaffre, Leon van Noorden & Dirk Moelants. (2009) Concepts, Technology, and Assessment of the Social Music Game "Sync-in-Team'. Concepts, Technology, and Assessment of the Social Music Game "Sync-in-Team'.

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