Özet
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.
| Tercüme edilen katkı başlığı | Classification of Classic Turkish Music Makams by using Deep Belief Networks |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 527-530 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781467373869 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 19 Haz 2015 |
| Harici olarak yayınlandı | Evet |
| Etkinlik | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Türkiye Süre: 16 May 2015 → 19 May 2015 |
Yayın serisi
| Adı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
|---|
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| ???event.eventtypes.event.conference??? | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Malatya |
| Periyot | 16/05/15 → 19/05/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.
Keywords
- Classic turkish music
- Deep belief networks
- Mel frequency cepstral coefficients
- Music information retrieval
Parmak izi
Klasik Türk Müziʇi Makamlarinin Derin Anlama Aʇlari ile Siniflandirilmasi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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