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

Translated title of the contribution: Recognition of bowed string sounds by using probabilistic neural network

Bülent Bolat^*, Ünal Küçük

^*Corresponding author for this work

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Translated title of the contribution	Recognition of bowed string sounds by using probabilistic neural network
Original language	Turkish
Title of host publication	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Pages	57-59
Number of pages	3
DOIs	https://doi.org/10.1109/SIU.2005.1567618
Publication status	Published - 2005
Externally published	Yes
Event	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 - Kayseri, Turkey Duration: 16 May 2005 → 18 May 2005

Publication series

Name	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Volume	2005

Conference

Conference	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Country/Territory	Turkey
City	Kayseri
Period	16/05/05 → 18/05/05

Access to Document

10.1109/SIU.2005.1567618

Cite this

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). Article 1567618 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Vol. 2005). https://doi.org/10.1109/SIU.2005.1567618

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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, vol. 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; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

AU - Bolat, Bülent

AU - Küçük, Ünal

PY - 2005

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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.

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DO - 10.1109/SIU.2005.1567618

M3 - Konferans katkısı

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

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ER -

Yayli enstrüman seslerinin olasiliksal sinir aǧi ile taninmasi

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