TR
EN
An Automated Local Binary Pattern Ship Identification Method by Using Sound
Öz
Sound classification one of the most important research issues for machine learning and applied computer sciences. By using sound classification method, many biometric applications/methods have been presented in the literature. This work presents a ship identification method by using sounds. This presented method is very simple and effective. This method has only two fundamental phases and these phases are feature extraction by one dimensional binary pattern (1D-BP) and classification with conventional classifiers phases. 1D-BP extracts 256 features from each sound and these sounds are forwarded to classifiers. To test this ultra-lightweight sound identification method, a ship sounds dataset was collected from YouTube. According to results, this method achieved 97% classification accuracy. This results clearly demonstrated merit of the presented 1D-BP based method on ship sound classification and sound based ship identification.
Anahtar Kelimeler
Kaynakça
- Badem, H. (2019). Parkinson Hastaliğinin Ses Sinyalleri Üzerinden Makine Öğrenmesi Teknikleri ile Tanimlanmasi. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 8(2), 630-637.
- Çalik, N., Ata, L. D., Serbes, A., Bolat, B., & Yavuz, E. (2015, May). Performance analysis of feature extraction methods in indoor sound classification. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 2025-2028). IEEE.
- George, J., Cyril, A., Koshy, B. I., & Mary, L. (2013). Exploring sound signature for vehicle detection and classification using ANN. International Journal on Soft Computing, 4(2), 29.
- Mesaros, A., Heittola, T., & Virtanen, T. (2016, August). TUT database for acoustic scene classification and sound event detection. In 2016 24th European Signal Processing Conference (EUSIPCO) (pp. 1128-1132). IEEE.
- Khan, S., Divakaran, A., & Sawhney, H. S. (2009, May). Weapon identification using hierarchical classification of acoustic signatures. In Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VIII (Vol. 7305, p. 730510). International Society for Optics and Photonics.
- Liang, H., & Nartimo, I. (1998, October). A feature extraction algorithm based on wavelet packet decomposition for heart sound signals. In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No. 98TH8380) (pp. 93-96). IEEE.
- Wang, J. C., Wang, J. F., He, K. W., & Hsu, C. S. (2006, July). Environmental sound classification using hybrid SVM/KNN classifier and MPEG-7 audio low-level descriptor. In The 2006 IEEE international joint conference on neural network proceedings (pp. 1731-1735). IEEE.
- Chen, C. H., Huang, W. T., Tan, T. H., Chang, C. C., & Chang, Y. J. (2015). Using k-nearest neighbor classification to diagnose abnormal lung sounds. Sensors, 15(6), 13132-13158.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Bilgisayar Yazılımı
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
10 Ağustos 2020
Gönderilme Tarihi
2 Temmuz 2020
Kabul Tarihi
20 Temmuz 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 4 Sayı: 1
APA
Tuncer, T., & Aydemir, E. (2020). An Automated Local Binary Pattern Ship Identification Method by Using Sound. Acta Infologica, 4(1), 57-63. https://izlik.org/JA55NT98HW
AMA
1.Tuncer T, Aydemir E. An Automated Local Binary Pattern Ship Identification Method by Using Sound. ACIN. 2020;4(1):57-63. https://izlik.org/JA55NT98HW
Chicago
Tuncer, Türker, ve Emrah Aydemir. 2020. “An Automated Local Binary Pattern Ship Identification Method by Using Sound”. Acta Infologica 4 (1): 57-63. https://izlik.org/JA55NT98HW.
EndNote
Tuncer T, Aydemir E (01 Ağustos 2020) An Automated Local Binary Pattern Ship Identification Method by Using Sound. Acta Infologica 4 1 57–63.
IEEE
[1]T. Tuncer ve E. Aydemir, “An Automated Local Binary Pattern Ship Identification Method by Using Sound”, ACIN, c. 4, sy 1, ss. 57–63, Ağu. 2020, [çevrimiçi]. Erişim adresi: https://izlik.org/JA55NT98HW
ISNAD
Tuncer, Türker - Aydemir, Emrah. “An Automated Local Binary Pattern Ship Identification Method by Using Sound”. Acta Infologica 4/1 (01 Ağustos 2020): 57-63. https://izlik.org/JA55NT98HW.
JAMA
1.Tuncer T, Aydemir E. An Automated Local Binary Pattern Ship Identification Method by Using Sound. ACIN. 2020;4:57–63.
MLA
Tuncer, Türker, ve Emrah Aydemir. “An Automated Local Binary Pattern Ship Identification Method by Using Sound”. Acta Infologica, c. 4, sy 1, Ağustos 2020, ss. 57-63, https://izlik.org/JA55NT98HW.
Vancouver
1.Türker Tuncer, Emrah Aydemir. An Automated Local Binary Pattern Ship Identification Method by Using Sound. ACIN [Internet]. 01 Ağustos 2020;4(1):57-63. Erişim adresi: https://izlik.org/JA55NT98HW