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New Index
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Item
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Speech Command Recognition by using Dynamic Time Warping
http://hdl.handle.net/20.500.12678/0000004173
http://hdl.handle.net/20.500.12678/0000004173c1bb5f61-03df-45d1-9722-e0a5018b2065
ff066f64-5b5a-4ee9-8d5d-4cdf34b5e76c
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Speech Command Recognition by using Dynamic Time Warping | |||||
Language | en | |||||
Publication date | 2015-02-05 | |||||
Authors | ||||||
Kyaw, Ei Mon | ||||||
Khin, Myat Thanda | ||||||
Description | ||||||
Speech Recognition is a technology that can beuseful in many applicationof our daily life. Thisproposed method present the speaker dependent speechrecognition system. In this paperinclude the threesteps of speech command recognition systems. Firstly,automatically crop the input command signal forremoving silent part of the command .The second oneis extract the feature vectors by using Mel frequencycepstralcoefficients (MFCCs) and then featurematching the command and predefined speechcommand by using Dynamic Time Warping (DTW).Before matching with DTW, the system sorts thepredefined command for matching with command toimprove performance of recognition. This system usesthe ten predefined command for one username. Thispaper also compares the speech recognition systembetween the using of Multi-band Spectral Subtractionand Feature extractions in preprocessing method.Finally, the proposed system designs the “InformationRetrieval” application using MATLAB. | ||||||
Keywords | ||||||
Multi-band Spectral Subtracion, Feature Extraction, Feature Matching, Mel Frequency Cepstral Coefficient (MFCC), Dynamic Time Wraping (DTW) | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/187 | |||||
Journal articles | ||||||
Thirteenth International Conferences on Computer Applications(ICCA 2015) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |