Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments. (13th March 2008)

• Record Type: Journal Article
• Authors: Rondeau, Paul; Yahampath, Pradeepa
• Other Names: Sreenivas Thippur Academic Editor.
• Is Part Of: EURASIP journal on audio, speech, and music processing. Volume 2008(2008)
• Publication Date: 2008-03-13
• Subjects: Sound -- Recording and reproducing -- Digital techniques -- Periodicals; Computer sound processing -- Periodicals; Computer sound processing; Sound -- Recording and reproducing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 620.2
• DOI: 10.1155/2008/896021
• Languages: English
• ISSNs: 1687-4714

Abstract

Abstract : Speech coding techniques capable of generating encoded representations which are robust against channel losses play an important role in enabling reliable voice communication over packet networks and mobile wireless systems. In this paper, we investigate the use of multiple description index assignments (MDIAs) for loss-tolerant transmission of line spectral frequency (LSF) coefficients, typically generated by state-of-the-art speech coders. We propose a simulated annealing-based approach for optimizing MDIAs for Markov-model-based decoders which exploit inter- and intraframe correlations in LSF coefficients to reconstruct the quantized LSFs from coded bit streams corrupted by channel losses. Experimental results are presented which compare the performance of a number of novel LSF transmission schemes. These results clearly demonstrate that Markov-model-based decoders, when used in conjunction with optimized MDIA, can yield average spectral distortion much lower than that produced by methods such as interleaving/interpolation, commonly used to combat the packet losses.