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Multirate STC and Its Application to Multi-Speaker Conferencing

  • Terrence G. Champion
  • Robert J. McAulay
  • Thomas F. Quatieri
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 224)

Abstract

The problem of conferencing over systems which employ parametric vocoders has long been of interest to the military. In analog or wideband digital conferencing, overlapping speakers are handled by signal summation at a conferencing bridge. Such a scheme is not feasible for parametric vocoders which would require synthesis and reanalysis of the aggregate speech signal, a process called tandeming, which results in severe loss in quality in the synthetic speech. Moreover, further degradations occur when multiple speakers are active since parametric vocoders are not designed to model more than one voice. One narrowband technique currently in use is based on the idea of signal selection—a speaker has the channel until finished or until replaced by someone with a higher priority, and speakers contend for the open channel when it becomes available [1]. The advantage of such a technique is that it avoids the degradations due to tandeming, but it is cumbersome. A more natural conference control is handled by interruptions corresponding to multiple speakers producing overlapping speech. One scheme that permits two-speaker overlaps assigns one-half of the available bandwidth to each speech coder and defers signal summation to the terminal [2]. This approach limits the overall quality of the conference by forcing the coder to work at half the bandwidth. Since for the majority of a conference there will be only a single active speaker, this technique causes an overall degradation in the perceived quality in order to model an event that occurs relatively infrequently.

Keywords

Vocal Tract Synthetic Speech Signal Summation Sinusoidal Model Lincoln Laboratory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Terrence G. Champion
    • 1
  • Robert J. McAulay
    • 2
  • Thomas F. Quatieri
    • 2
  1. 1.COMSEC Engineering OfficeRL/ERTHanscom AFBUSA
  2. 2.Lincoln LaboratoryMITLexingtonUSA

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