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Feature Combination & Mapping Using Multiwavelet Transform | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 19, 2017, Pages 13-34 | ||
| Author | ||
| Waleed A. Mahmud Al-Jouhar | ||
| Abstract | ||
| This paper presents a way of data combination of technique of several features and their mapping using discrete mltiwavelet transform (DMWT).This combination was tested for isolated-word speech recognition . It is shown that this approach introduce more accurate results . This is due to the use of MWT in the combination instead of putting several logic rules. This experiment considered as a good beginning in using multiwavelet in feature combination of speech signal. It was compared with method of linear combination applying to the same data which results in (87.75%) . For the DMWT gave (90.81%) . It is clear that the new method give much better performance than the conventional one. | ||
| Keywords | ||
| Multiwavelet Transform | ||
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