Browsing by Author "Menzies, Dylan"
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Item Metadata only Ambisonic Synthesis of Complex Sources(2007-10) Menzies, Dylan; Al-Akidi, M.Item Metadata only Item Metadata only Composing Instrument Control Dynamics(2002-04) Menzies, DylanItem Metadata only The CyberWhistle and O-Bow: Minimalist controllers inspired by traditional instruments(2010) Menzies, DylanItem Metadata only The CyberWhistle, an instrument for live performance.(1998) Menzies, DylanThe CyberWhistle is an integrated approach to a new electronic instrument, with emphasis given to aesthetic and practical considerations. It consists of a penny whistle1 fitted with sensors and electronics connected by cable to a desktop computer, a Silicon Graphics Indy. In contrast to many windcontrollers, the continuous position of the fingers is sensed. Audio is produced on multiple channels using various software synthesis methods, including waveguide modeling. The design of software and hardware have proceeded in parallel, which has helped in the musical unification of the instrument. The word cyber is chosen to reflect the welding of a ‘natural’ form, the whistle, with modern technology, and also, hopefully, the fusing of the player with the instrument.Item Embargo Differential Evolution Schemes for Speech Segmentation: A Comparative Study(IEEE, 2014) Iliya, Sunday; Neri, Ferrante; Menzies, Dylan; Cornelius, Pip; Picinali, LorenzoThis paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a system for deriving musculoskeletal articulation data from disordered utterances, in order to provide training feedback. The functioning of the signal processing technique has been optimized by selecting the parameters of the model. The optimization has been carried out by testing and comparing multiple Differential Evolution implementations, including a standard one, a memetic one, and a controlled randomized one. Numerical results have also been compared with a famous and efficient swarm intelligence algorithm. For the given problem, Differential Evolution schemes appear to display a very good performance as they can quickly reach a high quality solution. The binomial crossover appears, for the given problem, beneficial with respect to the exponential one. The controlled randomization appears to be the best choice in this case. The overall optimized system proved to segment well the speech utterances and efficiently detect its uninteresting parts.Item Metadata only Holophonic synthesis of musical sources(2007) Menzies, DylanThe composition of a soundfield containing complex nearfield sources has interesting musical applications. A method is presented here using freefield expansions about exterior points of a harmonic multipole field. A derivation and verification are included. Binaural rendering is the natural method for displaying such soundfields. Some possible musical applications are discussed.Item Metadata only Horizontal Sound Field Reproduction with Point Sources using Distributed Constraints(2011) Menzies, DylanItem Metadata only LAmb, an introduction and tutorial.(1997) Menzies, DylanLAmb, from “Live Ambisonics” , is a single program application written for the Silicon Graphics Indy over the last year. It was originally conceived as a flexible new diffusion performance instrument for the electro-acoustic concert hall, and has since developed other capabilities to aid interactive and algorithmic composition. The novelty of LAmb lies chiefly in its application of ambisonic theory and the actual methods of performance control implemented. This presentation will first provide some background and motivation for the project. A tutorial is then given to guide the new user by demonstrating some of the functions. The accompanying User Guide provides all remaining details. LAmb cannot be properly evaluated without the use of a speaker rig. Fortunately a simple four-speaker horizontal arrangement, fed directly from the amplified Indy outputs, can produce excellent results.Item Metadata only Near-field HRTFs from Point Source Representations(2009) Menzies, DylanItem Metadata only Nearfield Binaural Synthesis and Ambisonics(Acoustical Society of America, 2007-03) Menzies, Dylan; Al-Akidi, M.Item Metadata only Nearfield binaural synthesis report(2008) Menzies, DylanFindings are presented from an ongoing investigation into the interpolation of head related transfer functions (HRTFs) and synthesis of near-field HRTFs, over the full sphere. A method is presented forsubdivided scattering regions for improved HRTF synthesis. The results are encouraging, although there remain numerical obstacles.Item Metadata only Nearfield synthesis of complex sources with high-order ambisonics, and binaural rendering.(2007) Menzies, DylanA scheme is presented for encoding general complex sources in high-order Ambisonic soundfields, with control over position and orientation. Also reviewed is related work by the author on the binaural rendering of nearfield sources, accounting fully for the physical constraints of this problem. Together these developments provide a means for creating high quality nearfield auditory displays over headphones.Item Metadata only Parametric representation of complex sources in reflective environments.(2010) Menzies, DylanAspects of source directivity in reflective environments are considered, including the audible effects of directivity and how these can be reproduced. Different methods of encoding and production are presented, leading to a new approach to extend parametric encoding of reverberation, as described in the DIRAC and MPEG formats, to include the response to source directivity.Item Metadata only Perceptual Resonators For Interactive Worlds(2002) Menzies, DylanItem Metadata only Phya and VFoley, physically motivated audio for virtual environments.(2009) Menzies, DylanPhya is an open source C++ library that facilitates physically motivated audio in virtual environments. A review is presented and recent developments in the context of game audio, including the launch of VFoley, a project using Phya as the basis for a fully fledged virtual sound design environment. This will enable sound designers to rapidly produce rich Foley content from within a virtual environment, and author enhanced objects for use by Phya enabled applications.Item Metadata only Physical audio for virtual environments, Phya in review.(2007) Menzies, DylanA review is presented of a library that has emerged out of the development of physical audio capability within a physical computer game environment. Technical aspects are covered with emphasis on practical requirements, as well as broader issues concerning the uptake of audio modeling within industry. Some future directions are considered.Item Metadata only Physically motivated environmental sound synthesis for virtual world.(Hindawi, 2010) Menzies, DylanA system is described for simulating environmental sound in interactive virtual worlds, using the physical state of objects as control parameters. It contains a unified framework for integration with physics simulation engines, and synthesis algorithms that are tailored to work within the framework. A range of behaviours can be simulated, including diffuse and non-linear resonators, and loose surfaces. The overall aim has been to produce a flexible and practical system with intuitive controls that will appeal to sound design professionals. This could be valuable for computer game design, and in other areas where realistic environmental audio is required. A review of previous work is included, and discussion of the issues which influence the overall design of the system.Item Metadata only Item Embargo Robust Impaired Speech Segmentation Using Neural Network Mixture Model(IEEE, 2014) Iliya, Sunday; Neri, Ferrante; Menzies, Dylan; Cornelius, Pip; Picinali, LorenzoThis paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a system for deriving musculoskeletal articulation data from disordered utterances, in order to provide training feedback for people with speech articulation problem. The approach implement a novel and innovative segmentation scheme using artificial neural network mixture model (ANNMM) for identification and capturing of the various sections of the disordered (impaired) speech signals. This paper also identify some salient features that distinguish normal speech from impaired speech of the same utterances. This research aim at developing artificial speech therapist capable of providing reliable text and audiovisual feed back progress report to the patient.