Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

Bülent Bolat; Ünal Küçük

doi:10.1109/SIU.2005.1567618

Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

Bülent Bolat^*
, Ünal Küçük

^*Bu çalışma için yazışmadan sorumlu yazar

Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

In this paper, bowed string instrument sounds are classified by using probabilistic neural networks. Linear prediction coefficients with different orders are used as features. The application results are discussed and the best recognizing result which is beyond the human capabilities is exhibited.

Tercüme edilen katkı başlığı	Recognition of bowed string sounds by using probabilistic neural network
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Sayfalar	57-59
Sayfa sayısı	3
DOI'lar	https://doi.org/10.1109/SIU.2005.1567618
Yayın durumu	Yayınlandı - 2005
Harici olarak yayınlandı	Evet
Etkinlik	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 - Kayseri, Turkey Süre: 16 May 2005 → 18 May 2005

Yayın serisi

Adı	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Hacim	2005

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???event.eventtypes.event.conference???	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Ülke/Bölge	Turkey
Şehir	Kayseri
Periyot	16/05/05 → 18/05/05

Belgeye Erişim

10.1109/SIU.2005.1567618

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bolat, B., & Küçük, Ü. (2005). Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi. In Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 (pp. 57-59). Makale 1567618 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Hac. 2005). https://doi.org/10.1109/SIU.2005.1567618

@inproceedings{8ce1caab420f467d9f8cb1fa2f1e0f0b,

title = "Yayli enstr{\"u}man seslerinin olasiliksal sinir aǧi ile taninmasi",

abstract = "In this paper, bowed string instrument sounds are classified by using probabilistic neural networks. Linear prediction coefficients with different orders are used as features. The application results are discussed and the best recognizing result which is beyond the human capabilities is exhibited.",

author = "B{\"u}lent Bolat and {\"U}nal K{\"u}{\c c}{\"u}k",

year = "2005",

doi = "10.1109/SIU.2005.1567618",

language = "T{\"u}rk{\c c}e",

isbn = "0780392396",

series = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

pages = "57--59",

booktitle = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

note = "IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 ; Conference date: 16-05-2005 Through 18-05-2005",

}

Bolat, B & Küçük, Ü 2005, Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi. in Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005., 1567618, Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, hac. 2005, pp. 57-59, IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Turkey, 16/05/05. https://doi.org/10.1109/SIU.2005.1567618

Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi. / Bolat, Bülent; Küçük, Ünal.
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005. 2005. p. 57-59 1567618 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Hac. 2005).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

AU - Bolat, Bülent

AU - Küçük, Ünal

PY - 2005

Y1 - 2005

N2 - In this paper, bowed string instrument sounds are classified by using probabilistic neural networks. Linear prediction coefficients with different orders are used as features. The application results are discussed and the best recognizing result which is beyond the human capabilities is exhibited.

AB - In this paper, bowed string instrument sounds are classified by using probabilistic neural networks. Linear prediction coefficients with different orders are used as features. The application results are discussed and the best recognizing result which is beyond the human capabilities is exhibited.

UR - https://www.scopus.com/pages/publications/33846625573

U2 - 10.1109/SIU.2005.1567618

DO - 10.1109/SIU.2005.1567618

M3 - Konferans katkısı

AN - SCOPUS:33846625573

SN - 0780392396

SN - 9780780392397

T3 - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

SP - 57

EP - 59

BT - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

T2 - IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

Y2 - 16 May 2005 through 18 May 2005

ER -

Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap