| EPSRC Reference: |
GR/T12118/01 |
| Title: |
Graphical models for Automatic Speech Recognition |
| Principal Investigator: |
King, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Centre for Speech Technology Research |
| Organisation: |
University of Edinburgh |
| Scheme: |
Overseas Travel Grants Pre-FEC |
| Starts: |
01 April 2004 |
Ends: |
31 August 2004 |
Value (£): |
3,734
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| EPSRC Research Topic Classifications: |
| Human Communication in ICT |
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| EPSRC Industrial Sector Classifications: |
| Creative Industries |
Information Technologies |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
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Current automatic speech recognition techniques involve probabilistic models (hidden Markov models) which do not reflect much of our knowledge of how speech is produced: they are not speech-specific. The proposal is to commence investigation of the wider class of models of which the hidden Markov model is a member, to find more appropriate models of speech. I will investigate models which use more than one stream to model speech. These will model speech more faithfully and it is hoped they will therefore perform speech recognition more accurately.
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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.ed.ac.uk |