Baghai-Ravary, L., Beet, S.W. and Tokhi, M.O. (1995) Variable Frame-Rate Speech Coding by Adaptive-Flux Interpolation. Research Report. ACSE Research Report 592 . Department of Automatic Control and Systems Engineering
Abstract
Variable frame-rate (VFR) speech coders have many desirable properties but make implicit assumptions concerning the nature of the spectral evolution of speech (Peeling and Pointing 1989). To date, these assumptions have been crude and unable to model speech parameters during extended periods of coarticulation. In particular they have been unable to cope with steadily changing formats. Thus, existing VFR methods must transmit many more frames than are really necessary. This paper presents a new technique; Adaptive-Flux Interpolation (AFI), which significantly extends the period over which accurate estimation can be performed and is much more robust and accurate than other methods.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Keywords: | Adaptive-flux interpolation; Speech coding; Variable frame-rate coding. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 12 Aug 2014 14:07 |
Last Modified: | 01 Nov 2016 21:53 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 592 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80139 |