| EPSRC Reference: |
GR/K66550/01 |
| Title: |
USING NEURAL NETWORKS TO MODEL THE SPECTRAL CHARACTER. OF MUSICAL INSTRUMENTS OVER THEIR PLAYING RANGE |
| Principal Investigator: |
Canagarajah, Professor N |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
University of Bristol |
| Scheme: |
ROPA |
| Starts: |
01 April 1996 |
Ends: |
31 March 1999 |
Value (£): |
112,871
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Summary on Grant Application Form |
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Expertise in neural networks and music analysis - synthesis will be applied to investigate a novel means for classifying sounds. A specialised time-frequency representation of sound and feature extraction techniques will be applied to several recordings of a musical instrument. to progressively construct a musical instrument character map. As proof of concept research, this project will focus on the simpler case of musical instruments, although future applications are envisaged for modelling the human voice. Applications initially extend to expert teaching aids and multimedia, while the extended speech case could yield substantial benefits for speech therapy and intelligent hearing aids.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.bris.ac.uk |