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      Sonic Xplorer: A Machine Learning Approach for Parametric Exploration of Sound

      proceedings-article
      Electronic Visualisation and the Arts (EVA 2017) (EVA)
      Electronic Visualisation and the Arts
      11 – 13 July 2017
      Sound synthesis, Multiparametric control, Artificial neural networks, Sound timbre, Semantic descriptors
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            Abstract

            This paper presents Sonic Xplorer an interfaces that uses timbre adjectives for multiparametric control sound synthesis. The interface utilises an artificial neural network to create a personalised interface. Users can manipulate a large number of sound synthesis parameters without the need to learn or use the synthesiser’s complex interface by utilising programed sounds by expert users. Sonic Xplorer learns a correlation based on users’ ratings between timbre adjectives and the acoustic descriptors. Timbre adjectives are then used to describe the acoustic qualities of the desired sound. This paper discusses in detail the approach that has been followed to develop the system and the mapping and strategies users employed when using the interface in order to discover new sounds.

            Content

            Author and article information

            Contributors
            Conference
            July 2017
            July 2017
            : 144-149
            Affiliations
            [0001]Centre for Interaction Design

            Edinburgh Napier University

            10 Colinton Road, EH10 5DT

            Scotland
            Article
            10.14236/ewic/EVA2017.34
            d0cd2f11-5a22-419e-8084-e9ac82864511
            © Tsiros. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2017, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Electronic Visualisation and the Arts (EVA 2017)
            EVA
            London, UK
            11 – 13 July 2017
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2017.34
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Sound synthesis,Sound timbre,Multiparametric control,Semantic descriptors,Artificial neural networks

            6. REFERENCES

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            13. 2011 An Investigation of Musical Timbre: Uncovering Salient Semantic Descriptors and Perceptual Dimensions. In 12th International Society for Music Information Retrieval Conference 807 812

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