| EPSRC Reference: |
GR/L21914/01 |
| Title: |
TUNABLE DIGITAL FILTER STRUCTURES OF HIGH ORDER WITH APPLICATIONS TO SPEECH CODING |
| Principal Investigator: |
Sandler, Professor M |
| Other Investigators: |
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| Department: |
Electronic Engineering |
| Organisation: |
Kings College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 1996 |
Ends: |
29 February 2000 |
Value (£): |
152,843
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| EPSRC Research Topic Classifications: |
| Digital Signal Processing |
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Summary on Grant Application Form |
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This project will investigate the application of a new class of recursive digital filters suited to implementing high orders. An important element of the proposed work deals with the extension of recent theory to cover the case of time-variance of such filters and seeks to develop methods to efficiently 'tune' them in accordance with control signals. This will be achieved by a variant of sensitivity analysis. The main application demonstrator is the coding of high quality speech, which is defined as speech requiring wider bandwidths than toll-quality (e.g. 7kHz) and signal-noise ratios in excess of 50 dB. This requires higher order resonant models than currently used (e.g. up to 50th order) and hence the use of the new class of structures in the speech synthesiser. Further it necessitates the use of a newly proposed speech compression technique which will be investigated as part of the work. This technique relies on pattern recognition in the time-frequency domain (as provided by the evolution of formants over time) using Hough Transform, which is commonly used in Computer Vision.
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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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