EPSRC Reference: |
EP/F059353/1 |
Title: |
Visiting fellowship in Signal Processing of Nonstationary Signals |
Principal Investigator: |
McLaughlin, Professor S |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Engineering |
Organisation: |
University of Edinburgh |
Scheme: |
Standard Research |
Starts: |
26 September 2008 |
Ends: |
25 December 2008 |
Value (£): |
18,646
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EPSRC Research Topic Classifications: |
Digital Signal Processing |
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EPSRC Industrial Sector Classifications: |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
For years many researchers in the signal processing applications,such as speech processing, have strived to find compact andeasy-to-handle representations of the waveform. Given thenon-stationary nature of many signals many models have been proposedattempting to capture time-varying features. Although the idea ofestimating time-varying computational models is not a new one, recently published research reports indicate a marked tendency to focus on parameters estimated with high temporal resolution (instantaneous parameters). The results obtained with this research could be applied in the development of :Text to speech systems producing high quality speech.Low bit rate speech coding.Knowledge-based speech recognition.Speech compression for multimedia systems.
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Key Findings |
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 |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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 |
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 |