Speeh/music classification by using statistical neural networks;İstatistiksel Sinir Aǧlari İle Konuşma/Müzik Siniflandirma

Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004

Volumn , Issue , 2004, Pages 227-229

  Bolat, Bülent ^a   Küçük, Ünal ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER MUSIC; DATA ACQUISITION; RADIAL BASIS FUNCTION NETWORKS; SPEECH; STATISTICAL METHODS;

DATASETS; ROOT MEAN SQUARE POWER; STATISTICAL NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 18844395654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Zhang, T. and Jay Kuo, C. C., "Content-Based Classification and Retrieval of Audio", Conference on Advanced Signal Processing Algorithms, Architectures and Implementations VIII, San Diego, 1998.
2. Serra, X. and Bonada, J., "Sound Transformations Based on the SMS High-Level Attributes", Proc. Digital Audio Effects Workshop (DAFX'98):138-142, 1998.
3. Gerhard, D., Audio Signal Classification, Yayinlanmamiş Doktora Tezi, Simon Frasier Üniversitesi, 2000.
4. Lu, L., Jiang, H. and Zhang, H.-J., "A Robust Audio Classification and Segmentation Method", Proc. ACM Multimedia 2001:203-211, Ottawa, 2001.
5. Kedem, B., "Spectral Analysis and Discrimination by Zero-Crossings", Proc. IEEE, 74(11):1477-1493, Nov. 1986.
6. Güneş, E. ve Günsel, B., "Ses Öznitelikleri Kullanilarak Otomatik Konuşma/Müzik Siniflandirma", 11. Sinyal İşleme Kurultayi (SİU'03): 410-413, İstanbul, 2003.
7. Eronen, A., Automatic Musical Instrument Recognition, Yayinlanmamiş Yüksek Lisans Tezi, Tampere Üniversitesi, Tampere, 2001.
8. Verleysen, M. and Hlavackova, K., "An Optimized RBF Network For Approximation of Functions", Proc. European Symposium on Artificial Neural Networks, 175-180, Brussels, Belgium, 1994.
9. Paredes, V. and Vidai, E., "A Class-Dependent Weighted Dissimilarity Measure for Nearest Neighbor Classification Problems", Pattern Recognition Letters, 21:1027-1036, 2000.
10. Wong, H. S., Wu, M., Joyce, R. A., Guan, L. and Kung, S. Y., "A Neural Network Approach for Predicting Network Resource Requirements in Video Transmission Systems", Proc. of IEEE Pacific RIM Conference on Multimedia, 2000.
11. Goh, T. C., "Probabilistic Neural Network for Evaluating Seismic Liquefaction Potential", Proc. IEEE Int. Symposium on Intelligent Systems, 3:16-20, Varna, Bulgaria, 2002.
12. Parzen E., "On Estimation of a Probability Density Function and Mode", Annals of Mathematical Statistics, 36:1065-1076, 1962.