Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi

Nurullah Çalik; Lütfiye Durak Ata; Ahmet Serbes; Bülent Bolat; Emrah Yavuz

doi:10.1109/SIU.2015.7130263

Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi

Translated title of the contribution: Performance analysis of feature extraction methods in indoor sound classification

Nurullah Çalik, Lütfiye Durak Ata, Ahmet Serbes, Bülent Bolat, Emrah Yavuz

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

1 Citation (Scopus)

Abstract

In this paper, by using a novel database of home environment warning sounds, the classification and recognition performances of these sounds are compared over feature extraction algorithms. Following the sample reduction of the feature vectors by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), k-Nearest Neighbour (k-NN) algorithm is employed for classification. Besides, a modified version of the algorithm for MF coefficients is proposed and we observe that the classification performance is better than MFCC and LPC even at low SNR values.

Translated title of the contribution	Performance analysis of feature extraction methods in indoor sound classification
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	2025-2028
Number of pages	4
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130263
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

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130263

Cite this

Çalik, N., Durak Ata, L., Serbes, A., Bolat, B., & Yavuz, E. (2015). Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2025-2028). Article 7130263 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130263

Çalik, Nurullah ; Durak Ata, Lütfiye ; Serbes, Ahmet et al. / Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2025-2028 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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title = "Ortam Seslerinin Siniflandirimi i{\c c}in {\"O}znitelik {\c C}ikartma Y{\"o}ntemlerinin Ba{\c s}arim Analizi",

abstract = "In this paper, by using a novel database of home environment warning sounds, the classification and recognition performances of these sounds are compared over feature extraction algorithms. Following the sample reduction of the feature vectors by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), k-Nearest Neighbour (k-NN) algorithm is employed for classification. Besides, a modified version of the algorithm for MF coefficients is proposed and we observe that the classification performance is better than MFCC and LPC even at low SNR values.",

keywords = "LPC, MFCC, classification, home environment sound, warning sound",

author = "Nurullah {\c C}alik and {Durak Ata}, L{\"u}tfiye and Ahmet Serbes and B{\"u}lent Bolat and Emrah Yavuz",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/SIU.2015.7130263",

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

series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Çalik, N, Durak Ata, L, Serbes, A, Bolat, B & Yavuz, E 2015, Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130263, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2025-2028, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130263

Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi. / Çalik, Nurullah; Durak Ata, Lütfiye; Serbes, Ahmet et al.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2025-2028 7130263 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi

AU - Çalik, Nurullah

AU - Durak Ata, Lütfiye

AU - Serbes, Ahmet

AU - Bolat, Bülent

AU - Yavuz, Emrah

PY - 2015/6/19

Y1 - 2015/6/19

N2 - In this paper, by using a novel database of home environment warning sounds, the classification and recognition performances of these sounds are compared over feature extraction algorithms. Following the sample reduction of the feature vectors by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), k-Nearest Neighbour (k-NN) algorithm is employed for classification. Besides, a modified version of the algorithm for MF coefficients is proposed and we observe that the classification performance is better than MFCC and LPC even at low SNR values.

AB - In this paper, by using a novel database of home environment warning sounds, the classification and recognition performances of these sounds are compared over feature extraction algorithms. Following the sample reduction of the feature vectors by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), k-Nearest Neighbour (k-NN) algorithm is employed for classification. Besides, a modified version of the algorithm for MF coefficients is proposed and we observe that the classification performance is better than MFCC and LPC even at low SNR values.

KW - LPC

KW - MFCC

KW - classification

KW - home environment sound

KW - warning sound

UR - http://www.scopus.com/inward/record.url?scp=84939148797&partnerID=8YFLogxK

U2 - 10.1109/SIU.2015.7130263

DO - 10.1109/SIU.2015.7130263

M3 - Konferans katkısı

AN - SCOPUS:84939148797

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 2025

EP - 2028

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Çalik N, Durak Ata L, Serbes A, Bolat B, Yavuz E. Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2025-2028. 7130263. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130263

Ortam Seslerinin Siniflandirimi için Öznitelik Çikartma Yöntemlerinin Başarim Analizi

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