The Effect Of Combining Entropy Feature With MFCC On Isolated-Word Speech Recognition | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 18, January 2017, Pages 138-149 | ||
| Author | ||
| Talib Mohammed Jawad Abbas | ||
| Abstract | ||
| In this paper, the MFCC feature(technique) is examined for isolated-word speech recognition . The combination of several entropy feature with the above , techniques are studied . It is shown that this combination introduce a more accurate results. The result of applying MFCC alone was 77.55%.The result of using feature entropy was 57.83%. But the result of combination of the above two features together was improved to 87.75%. | ||
| Keywords | ||
| Entropy | ||
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