A Scalable Architecture for VoIP Conferencing


Autoria(s): Prasad, Venkatesha R; Kuri, Joy; Jamadagni, HS; Ravindranath, Ravi A
Contribuinte(s)

Chu, HW

Molero, J

Sanchez, M

Ferrer, J

Data(s)

2003

Resumo

Real-Time services are traditionally supported on circuit switched network. However, there is a need to port these services on packet switched network. Architecture for audio conferencing application over the Internet in the light of ITU-T H.323 recommendations is considered. In a conference, considering packets only from a set of selected clients can reduce speech quality degradation because mixing packets from all clients can lead to lack of speech clarity. A distributed algorithm and architecture for selecting clients for mixing is suggested here based on a new quantifier of the voice activity called “Loudness Number” (LN). The proposed system distributes the computation load and reduces the load on client terminals. The highlights of this architecture are scalability, bandwidth saving and speech quality enhancement. Client selection for playing out tries to mimic a physical conference where the most vocal participants attract more attention. The contributions of the paper are expected to aid H.323 recommendations implementations for Multipoint Processors (MP). A working prototype based on the proposed architecture is already functional.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/43814/1/A_Scalable_Architecture.pdf

Prasad, Venkatesha R and Kuri, Joy and Jamadagni, HS and Ravindranath, Ravi A (2003) A Scalable Architecture for VoIP Conferencing. In: International Conference on Computer, Communication and Control Technologies (CCCT 03)/9th International Conference on Information Systems Analysis and Synthesis (ISAS03), JUL 31-AUG 02, 2003, Orlando, FLORIDA.

Publicador

Int Inst Informatics & Systemics

Relação

http://eprints.iisc.ernet.in/43814/

Palavras-Chave #Electronic Systems Engineering (Formerly, (CEDT) Centre for Electronic Design & Technology)
Tipo

Conference Paper

PeerReviewed