2014
DOI: 10.4028/www.scientific.net/amm.490-491.1347
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A Novel Weighted Dynamic Time Warping for Light Weight Speaker-Dependent Speech Recognition in Noisy and Bad Recording Conditions

Abstract: Lightweight speaker-dependent (SD) automatic speech recognition (ASR) is a promising solution for the problems of possibility of disclosing personal privacy and difficulty of obtaining training material for many seldom used English words and (often non-English) names. Dynamic time warping (DTW) algorithm is the state-of-the-art algorithm for small foot-print SD ASR applications, which have limited storage space and small vocabulary. In our previous work, we have successfully developed two fast and accurate DTW… Show more

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“…The DTW algorithm has several modifications, e.g., weighted DTW [57,58], correlation optimized [59], and constrained by Sakoe-Chiba Band [60] [65], Putz-Leszczyńska and Kudelski also used DTW to compare signatures and introduced an artifical hidden signature instead of the template signature [66].…”
Section: Automated Online Verificationmentioning
confidence: 99%
“…The DTW algorithm has several modifications, e.g., weighted DTW [57,58], correlation optimized [59], and constrained by Sakoe-Chiba Band [60] [65], Putz-Leszczyńska and Kudelski also used DTW to compare signatures and introduced an artifical hidden signature instead of the template signature [66].…”
Section: Automated Online Verificationmentioning
confidence: 99%