| EPSRC Reference: |
GR/M84497/01 |
| Title: |
ROPA: AUTOMATIC RECOGNITION OF MUSICAL INSTRUMENTS USING HIDDEN MARKOV MODELS |
| Principal Investigator: |
Canagarajah, Professor N |
| Other Investigators: |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
University of Bristol |
| Scheme: |
ROPA |
| Starts: |
01 February 2000 |
Ends: |
31 January 2002 |
Value (£): |
100,431
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| EPSRC Research Topic Classifications: |
| Music & Acoustic Technology |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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One of the goals of computational auditory scene analysis is to create systems that can learn to recognise/separate sound sources. The purr of this research project is to develop a system for automatic recognition of musical instruments based on time-frequency representations and statistical modelling techniques. In particular we will investigate whether Hidden Markov Models could be used to aid recognition based c musical phrases. This modelling approach to recognition based on sequential attributes of music is quite unique and significantly differen from the current approaches, where instantaneous sounds properties are employed on an individual frame basis. If successful this could provide a novel platform for music analysis which will be useful in a number of applications including music transcription, signal separati for hearing aids and multimedia indexing.
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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 |