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1156 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 15, NO. 4, MAY 2007 Rate Allocation for Noncollaborative Multiuser
 

Summary: 1156 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 15, NO. 4, MAY 2007
Rate Allocation for Noncollaborative Multiuser
Speech Communication Systems Based
on Bargaining Theory
Bengt J. Borgström, Student Member, IEEE, Mihaela van der Schaar, Senior Member, IEEE, and
Abeer Alwan, Senior Member, IEEE
Abstract--We propose a novel rate allocation algorithm for
multiuser speech communication systems based on bargaining
theory. Specifically, we apply the generalized Kalai­Smorodinsky
bargaining solution since it allows varying bargaining powers
to match the dynamic nature of speech signals. We propose a
novel method to derive bargaining powers based on the short-time
energy of the input speech signals, and subsequently allocate rates
accordingly to the users. An important merit of the proposed
framework is that it is general and can be applicable for resource
allocation across a variety of multirate speech coders, and it is
robust to a variety of speech quality metrics. The proposed system
is also shown to involve a quick and low-complexity training
process. We generalize the algorithm to scenarios in which users
have unequally weighted priorities. These scenarios might arise in

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences