Abstract
Through this work, six most known Classic Turkish Music Makams (CTM) were classified by using Deep Belief Networks (DBN). The Mel and delta-Mel Frequency Cepstral Coefficients (MFCC) were used as features. The best correct recognition ratio was obtained as 92.70% by using Deep Belief Networks and Mel frequency epstral coefficients. This result is better than the recent works reported in the literature.
Translated title of the contribution | Classification of Classic Turkish Music Makams by using Deep Belief Networks |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 527-530 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Externally published | Yes |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.