Project
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Intelligent and perceptual-based techniques for automated design and synthesis
of musical instrument sounds
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Time
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Start 1st April 2003
Ended:
31 March
2006
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Principal Investigator
Post-Doctorate
Research Fellow
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Professor Emmanuel C. Ifeachor
Dr Brahim Hamadicharef
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Emails
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Abstract
Digital synthesis of musical instrument sounds is a key aspect of the rapidly
growing field of computer music technology. It allows the creation of realistic
sounds and continuous 'animation' beyond the physical boundaries of the real
instrument. This is vital as it can, for example, inform the design and use of
next generation musical instruments and aids the preservation of historical
instruments. However, professional synthesis of instrument sounds is time
consuming and requires a great deal of experience. This is expensive and limits
productivity in the manufacture of digital synthesis systems, for example, in
what is an important export market. The aim is to extend the underlying
techniques of our new intelligent audio design system to provide a frame work
for automated modelling and synthesis of acoustic instruments sounds to reduce
work load. The outcome of the project include (i) a new model, based on fuzzy
logic, that encodes existing skills base and audio expertise and uses these to
automate the processing of sound features, (ii) a novel method that uses a
perceptual-based measure to optimise sound synthesis parameters; and (iii) a
new approach that provides an objective measure of perceptual quality of
synthesised sound, based on the new ITU standard for wide band audio quality.
Pipe organ will be used as a vehicle for the investigation because of its
importance to the collaborating companies and in sound synthesis. Knowledge
gained from synthesis of such a complex instrument will be invaluable in the
synthesis of other instruments.
Funding
Starts: 1 April 2003 / Ends: 31 March 2006
Value: Ł140,218
Scheme: Standard Research
EPSRC Research Topic Classifications: Vision, Hearing and Other Senses -
Applications in ICT
Industrial collaborators
Publications
Intelligent and Perceptual-based Approach to Musical Instruments
Sound Design
Brahim Hamadicharef and Emmanuel C. Ifeachor
Submitted to the IEEE Transactions on Audio, Speech, and Language Processing
(Manuscript No. T-ASL-01192-2006)
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Perceptual Modeling of Piano Tones
Brahim Hamadicharef and Emmanuel C. Ifeachor
119th AES Convention, October 7-10, 2005 - New York, NY, USA,
Preprint 6525
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Objective Prediction of Sound Synthesis Quality
Hamadicharef B. and Ifeachor E. C.
Proceedings of the 115th AES Convention, Oct. 10-13, 2003 New York, USA,
Preprint 5958
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An Intelligent System Approach to Sound Synthesis Parameter
Optimisation
Hamadicharef, B. and Ifeachor, E. C.
111th AES Convention, Nov-30 Dec 3, 2001, New York, USA,
Preprint 5484
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Developed Research Tools
Sound examples
Training and Experience (Project supervision)
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Adrien Martin (2005) Bachelor of Science
B.Sc. Thesis - Real-time DSP-based Audio Signal Processing
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Nicolai Heilemann (2005) Master Diploma
M.Sc. Thesis - Audio Quality Prediction for Digital Audio Broadcast
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Dineshen Chuckravanen (2004) M.Sc.
M.Sc. Thesis - Independent Sound Component Analysis
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Simon Makadi Bawa (2004) M.Sc.
M.Sc. Thesis - Fuzzy Audio Signal Processing
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Michael Hess (2004) 2nd practical training term
Project Report - Investigations into Video Quality Assessment of Real-Time
Video Streaming
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Charles Marzin (2003) M.Sc.
M.Sc. Thesis -
Prediction
of Audio Quality for Personal Audio Devices
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Yifan Zhang (2003) M.Res.
M.Res. Thesis - Automated Modeling and Synthesis of Piano Sounds
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Jeremie Grizard (2003) M.Sc.
Thesis - Sound Synthesis using Independent Component Analysis
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Sascha Tenkleve (2002-2003) Diploma Ing.
Diploma Thesis - Perceptual Modeling of the Hammond Organ
EPSRC Web site
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