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Hybrid Techniques based Speech Recognition

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Ahlam Hanoon Shini, Zainab Ibrahim Abood, Tariq Ziad Ismaeel

Ahlam Hanoon Shini, Zainab Ibrahim Abood and Tariq Ziad Ismaeel. Article: Hybrid Techniques based Speech Recognition. International Journal of Computer Applications 139(10):12-18, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Ahlam Hanoon Shini and Zainab Ibrahim Abood and Tariq Ziad Ismaeel},
	title = {Article: Hybrid Techniques based Speech Recognition},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {10},
	pages = {12-18},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Information processing has an important application which is speech recognition. In this paper, a two hybrid techniques have been presented. The first one is a 3-level hybrid of Stationary Wavelet Transform (S) and Discrete Wavelet Transform (W) and the second one is a 3-level hybrid of Discrete Wavelet Transform (W) and Multi-wavelet Transforms (M). To choose the best 3-level hybrid in each technique, a comparison according to five factors has been implemented and the best results are WWS, WWW, and MWM. Speech recognition is performed on WWS, WWW, and MWM using Euclidean distance (Ecl) and Dynamic Time Warping (DTW). The match performance is (98%) using DTW in MWM, while in the WWS and WWW are (74%) and (78%) respectively, but when using (Ecl) distance match performance is (62%) in MWM. So, in speech recognition to get the high alignment and high performance one must use DTW distance measurement.


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Hybrid techniques, speech recognition, multi-wavelet transform, wavelet transform, stationary wavelet transform, feature extraction, dynamic time warping.