An extended version model for artistic design applications

Eaglestone, Barry; Davies, G. L.; Ungvary, Tamas

doi:10.1109/icci.1993.315321

Cited by 1 publication

(3 citation statements)

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“…Though artistic designers may be constrained by functional requirements, their main criteria for the acceptability of designs are usually non-functional, since they are to do with subjective aesthetic judgement [EA93a]. Where the product includes an audio component (as in multimedia authoring, musical composition and instrument design, soundtrack creation, etc.…”

Section: Intuitive Querying Of Audio-informationmentioning

confidence: 99%

“…through the ESPRIT multimedia projects), this is less true of sound retrieval and manipulation interfaces. This weakness is particularly acute for artistic design applications in which design objects must be retrieved, manipulated and evaluated on the basis of their perceptual features [EA93a,EA93b]. This paper proposes two novel "styles" of intuitive audio-database interface which complement conventional database languages.…”

Section: Introductionmentioning

confidence: 99%

“…SIT is researching a technology to support audio-related design projects, and involves specialists in music, digital signal processing, and computer science. The research is focused and coordinated within the framework of an extended IPSE architecture [EA91b], and has concentrated mainly upon the repository/database component [EA91b,EA93a,EA93b]. Ideas are being implemented and tested through the construction of a music composition demonstrator.…”

Section: Introductionmentioning

confidence: 99%

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Intuitive Human Interfaces for an Audio-database

Eaglestone

Vertegaal

1995

Workshops in Computing

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Database technology can now host multimedia applications through the representation of sounds and images, but such new applications also require extensions to HCI technology. This paper examines the problems of querying and manipulating audio information. We argue that no single "style" of user interface can provide a complete solution, and propose two novel types of interface to complement conventional database languages. The first is gestural, and allows users literally to reach into spaces of sounds and to "grab" the required objects. The second involves retrieval by mimicry. The main part of this paper describes our research into the viability of the gestural interface. We have experimented using the ISEE (Intuitive Sound Editing Environment) interface, a four-dimensional perceptually-based space of sounds. Our experiments have involved a user population and a range of multidimensional input devices, and have provided strong evidence that the approach is viable, but that the choice of input devices has a significant impact on the usability of the system. The second proposed interface, which we are currently researching, involves the use of neural networks within the data model to derive perceptually-based attributes. The neural networks can be trained on expertly created sound spaces, together with vocal imitations of the sounds, and subsequently used to retrieve on the basis of vocal imitations of the required sounds.

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Section: Intuitive Querying Of Audio-informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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