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Structural usable speech measure using LPC residual
International Symposium on Intelligent Signal Processing and Communication Systems (2003)
  • Ananth N Iyer
  • Melinda Gleiter, Temple University
  • Brett Y Smolenski
  • Robert E Yantorno, Temple University
Abstract
In an operational environment speech is degraded by many kinds of interferences. The operation of many speech processing techniques are plagued by such interferences. Usable speech extraction is a novel concept of processing degraded speech data. The idea of usable speech is to identify and extract portions of degraded speech that are considered useful for various speech processing systems. The performance reduction of speaker identification systems under degraded conditions and use of usable speech concept to improve the performance has been demonstrated in previous work. A new usable speech measure, based on the structure of Linear Predictive Coding (LPC) residual is developed to identify usable speech frames. It is shown that the method has 72% success in identifying the usable frames with 28% false rate.
Disciplines
Publication Date
December, 2003
Citation Information
Ananth N Iyer, Melinda Gleiter, Brett Y Smolenski and Robert E Yantorno. "Structural usable speech measure using LPC residual" International Symposium on Intelligent Signal Processing and Communication Systems Vol. C2 Iss. 3 (2003)
Available at: http://works.bepress.com/iyer/15/