| EPSRC Reference: |
GR/R23954/01 |
| Title: |
Speech Summarization Using Prosodic Information |
| Principal Investigator: |
Renals, Professor S |
| Other Investigators: |
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| Department: |
Computer Science |
| Organisation: |
University of Sheffield |
| Scheme: |
ROPA |
| Starts: |
01 June 2001 |
Ends: |
31 May 2002 |
Value (£): |
34,711
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| EPSRC Research Topic Classifications: |
| Comput./Corpus Linguistics |
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Summary on Grant Application Form |
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This proposal is concerned with the development of methods for the automatic summarisation of spoken language utilising prosodic features such as stress, timing and intonation. The main components of the proposed research are an investigation into which prosodic features (if any) add useful information for speech summarisation and the development of methods, based on statistical pattern Recognition, relating the prosodic features present in a message to the content of that message. The expected results of the project will be a prototype system for the summarisation of voicemail messages, and an evaluation of the prospects of the proposed approach for more general information extraction tasks.
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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.shef.ac.uk |