Hybrid Techniques based Speech Recognition
| Autor: | Ahlam Hanoon Shini, Zainab Ibrahim Abood, Tariq Ziad Ismaeel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Discrete wavelet transform
Dynamic time warping Computer science business.industry Speech recognition Stationary wavelet transform Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition 010103 numerical & computational mathematics 01 natural sciences 010101 applied mathematics Euclidean distance Artificial intelligence 0101 mathematics business |
| Zdroj: | International Journal of Computer Applications. 139:12-18 |
| ISSN: | 0975-8887 |
| Popis: | 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. Keywordstechniques, speech recognition, multi-wavelet transform, wavelet transform, stationary wavelet transform, feature extraction, dynamic time warping. |
| Databáze: | OpenAIRE |
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