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Multi Pattern Dynamic Time Warping For Automatic Speech Recognition

Nair, Nishanth Ulhas and Sreenivas, TV (2008) Multi Pattern Dynamic Time Warping For Automatic Speech Recognition. In: IEEE Region 10 Conference (TENCON 2008), NOV 19-21, 2008, Hyderabad, INDIA, pp. 2435-2440.

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Abstract

We are addressing the problem of jointly using multiple noisy speech patterns for automatic speech recognition (ASR), given that they come from the same class. If the user utters a word K times, the ASR system should try to use the information content in all the K patterns of the word simultaneously and improve its speech recognition accuracy compared to that of the single pattern based speech recognition. T address this problem, recently we proposed a Multi Pattern Dynamic Time Warping (MPDTW) algorithm to align the K patterns by finding the least distortion path between them. A Constrained Multi Pattern Viterbi algorithm was used on this aligned path for isolated word recognition (IWR). In this paper, we explore the possibility of using only the MPDTW algorithm for IWR. We also study the properties of the MPDTW algorithm. We show that using only 2 noisy test patterns (10 percent burst noise at -5 dB SNR) reduces the noisy speech recognition error rate by 37.66 percent when compared to the single pattern recognition using the Dynamic Time Warping algorithm.

Item Type: Conference Paper
Additional Information: Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Automatic Speech Recognition;Dynamic Time Warping
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 04 Jan 2010 08:44
Last Modified: 19 Sep 2010 05:36
URI: http://eprints.iisc.ernet.in/id/eprint/21154

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