39,200 research outputs found

    Interacting with Acoustic Simulation and Fabrication

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    Incorporating accurate physics-based simulation into interactive design tools is challenging. However, adding the physics accurately becomes crucial to several emerging technologies. For example, in virtual/augmented reality (VR/AR) videos, the faithful reproduction of surrounding audios is required to bring the immersion to the next level. Similarly, as personal fabrication is made possible with accessible 3D printers, more intuitive tools that respect the physical constraints can help artists to prototype designs. One main hurdle is the sheer amount of computation complexity to accurately reproduce the real-world phenomena through physics-based simulation. In my thesis research, I develop interactive tools that implement efficient physics-based simulation algorithms for automatic optimization and intuitive user interaction.Comment: ACM UIST 2017 Doctoral Symposiu

    Multiple Media Interfaces for Music Therapy

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    This article describes interfaces (and the supporting technological infrastructure) to create audiovisual instruments for use in music therapy. In considering how the multidimensional nature of sound requires multidimensional input control, we propose a model to help designers manage the complex mapping between input devices and multiple media software. We also itemize a research agenda

    Sampling the past:a tactile approach to interactive musical instrument exhibits in the heritage sector

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    In the last decade, the heritage sector has had to adapt to a shifting cultural landscape of public expectations and attitudes towards ownership and intellectual property. One way it has done this is to focus on each visitor’s encounter and provide them with a sense of experiential authenticity.There is a clear desire by the public to engage with music collections in this way, and a sound museological rationale for providing such access, but the approach raises particular curatorial problems, specifically how do we meaningfully balance access with the duty to preserve objects for future generations?This paper charts the development of one such project. Based at Fenton House in Hampstead, and running since 2008, the project seeks to model digitally the keyboard instruments in the Benton Fletcher Collection and provide a dedicated interactive exhibit, which allows visitors to view all of the instruments in situ, and then play them through a custom-built two-manual MIDI controller with touch-screen interface.We discuss the approach to modelling, which uses high-definition sampling, and highlight the strengths and weaknesses of the exhibit as it currently stands, with particular focus on its key shortcoming: at present, there is no way to effectively model the key feel of a historic keyboard instrument.This issue is of profound importance, since the feel of any instrument is fundamental to its character, and shapes the way performers relate to it. The issue is further compounded if we are to consider a single dedicated keyboard as being the primary mode of interface for several instrument models of different classes, each with its own characteristic feel.We conclude by proposing an outline solution to this problem, detailing early work on a real-time adaptive haptic keyboard interface that changes its action in response to sampled resistance curves, measured on a key-by-key basis from the original instruments

    Of epistemic tools: musical instruments as cognitive extensions

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    This paper explores the differences in the design and performance of acoustic and new digital musical instruments, arguing that with the latter there is an increased encapsulation of musical theory. The point of departure is the phenomenology of musical instruments, which leads to the exploration of designed artefacts as extensions of human cognition – as scaffolding onto which we delegate parts of our cognitive processes. The paper succinctly emphasises the pronounced epistemic dimension of digital instruments when compared to acoustic instruments. Through the analysis of material epistemologies it is possible to describe the digital instrument as an epistemic tool: a designed tool with such a high degree of symbolic pertinence that it becomes a system of knowledge and thinking in its own terms. In conclusion, the paper rounds up the phenomenological and epistemological arguments, and points at issues in the design of digital musical instruments that are germane due to their strong aesthetic implications for musical culture

    An epistemic dimension space for musical devices

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    The analysis of digital music systems has traditionally been characterized by an approach that can be defined as phenomenological. The focus has been on the body and its relationship to the machine, often neglecting the system’s conceptual design. This paper brings into focus the epistemic features of digital systems, which implies emphasizing the cognitive, conceptual and music theoretical side of our musical instruments. An epistemic dimension space for the analysis of musical devices is proposed

    A novel continuous pitch electronic wind instrument controller

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    We present a design for an electronic continuous pitch wind controller for musical performance. It uses a combination of linear position, magnetic reed, and air pressure sensors to generate three fully continuous control dimensions. Each control dimension is encoded and transmitted using the industry standard MIDI protocol to allow the instrument to interface with a large variety of synthesizers to control different parameters of the synthesis algorithm in real time, allowing for a high degree of expressiveness not possible with existing electronic wind instrument controllers. The first part of the thesis will provide a justification for the design of a novel instrument, and present some of the theory behind pitch representation, encoding, and transmission with respect to digital systems. The remainder of the thesis will present the particular design and explain the workings of its various subsystems

    Fingerprinting Smart Devices Through Embedded Acoustic Components

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    The widespread use of smart devices gives rise to both security and privacy concerns. Fingerprinting smart devices can assist in authenticating physical devices, but it can also jeopardize privacy by allowing remote identification without user awareness. We propose a novel fingerprinting approach that uses the microphones and speakers of smart phones to uniquely identify an individual device. During fabrication, subtle imperfections arise in device microphones and speakers which induce anomalies in produced and received sounds. We exploit this observation to fingerprint smart devices through playback and recording of audio samples. We use audio-metric tools to analyze and explore different acoustic features and analyze their ability to successfully fingerprint smart devices. Our experiments show that it is even possible to fingerprint devices that have the same vendor and model; we were able to accurately distinguish over 93% of all recorded audio clips from 15 different units of the same model. Our study identifies the prominent acoustic features capable of fingerprinting devices with high success rate and examines the effect of background noise and other variables on fingerprinting accuracy

    Oceanus.

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    v. 38, no.1 (1995

    Functional Skills Support Programme: Developing functional skills in music

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    This booklet is part of "... a series of 11 booklets which helps schools to implement functional skills across the curriculum. The booklets illustrate how functional skills can be applied and developed in different subjects and contexts, supporting achievement at Key Stage 3 and Key Stage 4. Each booklet contains an introduction to functional skills for subject teachers, three practical planning examples with links to related websites and resources, a process for planning and a list of additional resources to support the teaching and learning of functional skills." - The National Strategies website

    Bridges Structural Health Monitoring and Deterioration Detection Synthesis of Knowledge and Technology

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    INE/AUTC 10.0
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