Results 1 
5 of
5
The Architecture of Auracle: a RealTime, Distributed,
 Proceedings of the 2004 conference on New interfaces for musical expression
, 2004
"... Auracle is a "group instrument," controlled by the voice, for realtime, interactive, distributed music making over the Internet. It is implemented in the Java programming language using a combination of publicly available libraries (JSyn and TransJam) and custombuilt components. This ..."
Abstract

Cited by 7 (2 self)
 Add to MetaCart
Auracle is a "group instrument," controlled by the voice, for realtime, interactive, distributed music making over the Internet. It is implemented in the Java programming language using a combination of publicly available libraries (JSyn and TransJam) and custombuilt components. This paper describes how the various pieces  the voice analysis, network communication, and sound synthesis  are individually built and how they are combined to form Auracle.
Employing symmetry constraints for improved frequency estimation by eigenanalysis Methods. Technometrics
, 1999
"... The problem of extracting sinusoid signals from noisy observations made at equally spaced times is considered. Eigenanalysis methods, such as Pisarenko’s method and the extended Prony method, find the eigenvector with minimum eigenvalue of a suitably chosen matrix, and then obtain the complex sinuso ..."
Abstract

Cited by 7 (1 self)
 Add to MetaCart
(Show Context)
The problem of extracting sinusoid signals from noisy observations made at equally spaced times is considered. Eigenanalysis methods, such as Pisarenko’s method and the extended Prony method, find the eigenvector with minimum eigenvalue of a suitably chosen matrix, and then obtain the complex sinusoids as the roots of the polynomial which has the components of the eigenvector as coefficients. For the sinusoids to be undamped, it is necessary that the roots lie on the unit circle, and hence that the eigenvector be conjugate symmetric. It is shown how this symmetry constraint can be incorporated into eigenanalysis estimation methods in a routine way. The practical importance of the constraint is investigated by CramérRao variance bound calculations and by simulation. Three data examples are included. The following conclusions are made: (i) The symmetry constraint is straightforward to implement, and reduces the amount of computation required. (iii) The relative reduction in variance of the constrained over the unconstrained frequency estimators is arbitrarily large for frequencies close together or near a multiple of π. However there are also frequency values for which the symmetry constraint gives no reduction in variance at low noisetosignal ratios. (iv) The relative reduction in variance converges to zero for large sample sizes. (v) The symmetry constraint increases the breakdown noisetosignal ratios above which the various methods fail to give useful results.
MICROWAVE MICROMACHINED CAVITY FILTERS
, 2003
"... Fair winds and following seas. ..."
(Show Context)
THE ARCHITECTURE OF AURACLE: A VOICECONTROLLED, NETWORKED SOUND INSTRUMENT
"... Auracle is a voicecontrolled, networked sound instrument which enables users to control a synthesized instrument with their voice and to interact with each other in real time over the Internet. This paper describes the architecture of the system in detail, including the multilevel analysis of voca ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
(Show Context)
Auracle is a voicecontrolled, networked sound instrument which enables users to control a synthesized instrument with their voice and to interact with each other in real time over the Internet. This paper describes the architecture of the system in detail, including the multilevel analysis of vocal input, the communication of that analysis data across the network, and the mapping of that data onto a software synthesizer. 1.
My Family BABA ACKNOWLEDGMENTS
"... I would like to extend my thanks to Dr. Fred J. Taylor for his suggestions at all the stages of the project. This project would not have taken shape without his guidance. I would like to thank my advisors, Dr. John G. Harris and Dr. John M. Shea, for their timely suggestions. I am also thankful to m ..."
Abstract
 Add to MetaCart
I would like to extend my thanks to Dr. Fred J. Taylor for his suggestions at all the stages of the project. This project would not have taken shape without his guidance. I would like to thank my advisors, Dr. John G. Harris and Dr. John M. Shea, for their timely suggestions. I am also thankful to my colleagues in the High Speed Digital Architecture Laboratory for their support. I would also like to acknowledge the continuous support my family has given me during the course of my work. iv TABLE OF CONTENTS page ACKNOWLEDGMENTS.................................................................................................. iv