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Article
Techniques for the Regeneration of Wideband Speech from Narrowband Speech
EURASIP Journal on Applied Signal Processing
  • Jason A. Fuemmeler, University of Dayton
  • Russell C. Hardie, University of Dayton
  • William R. Gardner, Qualcomm
Document Type
Article
Publication Date
12-1-2001
Abstract

This paper addresses the problem of reconstructing wideband speech signals from observed narrowband speech signals. The goal of this work is to improve the perceived quality of speech signals which have been transmitted through narrowband channels or degraded during acquisition. We describe a system, based on linear predictive coding, for estimating wideband speech from narrowband. This system employs both previously identified and novel techniques. Experimental results are provided in order to illustrate the system’s ability to improve speech quality. Both objective and subjective criteria are used to evaluate the quality of the processed speech signals.

Inclusive pages
266-274
ISBN/ISSN
1110-8657
Document Version
Published Version
Comments

Article appeared in a special issue on Nonlinear Signal and Image Processing. Content in this journal is open-access and must be attributed properly.

Publisher
Hindawi Publishing Corporation
Peer Reviewed
Yes
Citation Information
Jason A. Fuemmeler, Russell C. Hardie and William R. Gardner. "Techniques for the Regeneration of Wideband Speech from Narrowband Speech" EURASIP Journal on Applied Signal Processing Vol. 2001 Iss. 4 (2001)
Available at: http://works.bepress.com/russell_hardie/43/