Neural and Fuzzy Computation Techniques for Playout Delay Adaptation in VoIP Networks  

Oleh:

Ranganathan, M. K. ; Kilmartin, L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 5 (Sep. 2005), page 1174-1194.
Topik: fuzzy; neural; fuzzy computation; playout delay; adaptation; VoIP networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.12 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Playout delay adaptation algorithms are often used in real time voice communication over packet - switched networks to counteract the effects of network jitter at the receiver. Whilst the conventional algorithms developed for silence - suppressed speech transmission focused on preserving the relative temporal structure of speech frames / packets within a talkspurt (intertalkspurt adaptation), more recently developed algorithms strive to achieve better quality by allowing for playout delay adaptation within a talkspurt (intratalkspurt adaptation). The adaptation algorithms, both intertalkspurt and intratalkspurt based, rely on short term estimations of the characteristics of network delay that would be experienced by up-coming voice packets. The use of novel neural networks and fuzzy systems as estimators of network delay characteristics are presented in this paper. Their performance is analyzed in comparison with a number of traditional techniques for both inter and intratalkspurt adaptation paradigms. The design of a novel fuzzy trend analyzer system (FTAS) for network delay trend analysis and its usage in intratalkspurt playout delay adaptation are presented in greater detail. The performance of the proposed mechanism is analyzed based on measured Internet delays.

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