NDLI: Burst-like packet loss compensation using a DTW/HMM hybrid scheme

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2010 2nd International Conference on Signal Processing Systems

Volume 3 - 2010

Volume 2 - 2010

Volume 1 - 2010

Kinematics characteristic analysis of the jumping robot

Compressive sensing radar imaging based on smoothed l0 norm

Error estimate of quadrature sampling system via discrete Hilbert transform

VLSI architecture of defect feature extraction based on wavelet packet in ultrasonic nondestructive test

Stepped-Frequency waveform processing for moving target based on genetic-CLEAN algorithm

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A novel wavelet based ICA technique using Kurtosis

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Burst-like packet loss compensation using a DTW/HMM hybrid scheme

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2009 International Conference on Signal Processing Systems

Burst-like packet loss compensation using a DTW/HMM hybrid scheme

Content Provider	IEEE Xplore Digital Library
Author	Kojori, E.S. Ahadi, S.M.
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran (Ahadi, S.M.) \|\| Dept. of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA (Kojori, E.S.)
Abstract	Packet loss in IP and mobile networks leads to DSR systems performance degradation. Several robustness approaches have been proposed to compensate the effect of packet loss. Many of these techniques rely on temporal correlation between successive voice frames to recover data and have demonstrated improvements for minimal packet losses. Other techniques have been applied in decoding stage to control over the unfavorable influence of missing frames. In this paper, we propose a DTW/HMM hybrid scheme to deal with long burst-like packet loss. For each word-level HMM, DTW is used to align the partially corrupted data with a representative utterance. Then corresponding frames to the missing part are suggested for data reconstruction. Results have shown significant improvements over comparable methods for a Persian isolated-word recognition task in noisy conditions and when up to 50% of frames are lost.
File Size	296930
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555411
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	hidden Markov models dynamic time warping distributed speech recognition Viterbi algorithm Hidden Markov models Estimation Speech recognition packet loss Speech Decoding frame reconstruction IP networks
Content Type	Text
Resource Type	Article

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