Very short time environmental sound classification based on spectrogram pattern matching

Information Sciences

Volumn 243, Issue , 2013, Pages 57-74

  Khunarsal, Peerapol ^a   Lursinsap, Chidchanok ^a   Raicharoen, Thanapant ^b  

^a CHULALONGKORN UNIVERSITY   (Thailand)

^b Office of Permanent Secretary of Defence   (Thailand)

Author keywords

Environmental sound recognition; k Nearest neighbourneighbor (k NN); Spectrogram; Spectrogram pattern matching

Indexed keywords

ACCURACY OF CLASSIFICATIONS; CEPSTRAL COEFFICIENTS; CLASSIFICATION ACCURACY; ENVIRONMENTAL SOUND CLASSIFICATIONS; ENVIRONMENTAL SOUND RECOGNITION; K-NEAREST NEIGHBOURNEIGHBOR (K-NN); LINEAR PREDICTION COEFFICIENTS; SPECTROGRAMS;

ALGORITHMS; AUDIO RECORDINGS; PATTERN MATCHING; SPEECH RECOGNITION; TEXT PROCESSING;

SPECTROGRAPHS;

EID: 84878739168     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.04.014     Document Type: Article

References (28)

1. D. Albesano, R. Gemello, and F. Mana Hybrid HMMNN modeling of stationary transitional units for continuous speech recognition Information Sciences 123 2000 3 11
2. H. Byeong-jun, H. Eenjun, Environmental sound classification based on feature collaboration, in: Proc. IEEE International Conference on Multimedia and Expo, New York, USA, 2009, pp. 542-545.
3. S. Chu, S. Narayanan, and C.C. Kuo Environmental sound recognition with time-frequency audio features Transactions on Audio, Speech and Language Processing 17 2009 1142 1158
4. S. Chu, S. Narayanan, C.C. Kuo, Composite-dbn for recognition of environmental contexts, in: Signal Information Processing Association Annual Summit and Conference (APSIPA ASC), Asia-Pacific, 2012, pp. 1 -4.
5. S. Chu, S. Narayanan, C.C.J. Kuo, Environmental sound recognition using mp-based features, in: Proc. 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, USA, 2008, pp. 1-4.
6. A.J. Eronen, V.T. Peltonen, J.T. Tuomi, A.P. Klapuri, S. Fagerlund, T. Sorsa, G. Lorho, and J. Huopaniemi Audio-based context recognition IEEE Transactions on Audio, Speech and Language Processing 14 2006 321 329
7. S. Esmaili, S. Krishnan, K. Raahemifar, Content based audio classification and retrieval using joint time-frequency analysis, in: International Conference on Acoustics, Speech and Signal Processing 2004, pp. 665-668.
8. I. Feki, A. Ben Ammar, A. Alimi, Environmental sound extraction and incremental learning approach for real time concepts identification, in: IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011, pp. 33-38.
9. B. Ghoraani, and S. Krishnan Time and frequency matrix feature extraction and classification of environmental audio signals Transactions on Audio, Speech and Language Processing 19 2011 2197 2209
10. X. Guo, Y. Toyoda, H. Li, J. Huang, S. Ding, Y. Liu, Environmental sound recognition using time-frequency intersection patterns, in: 3rd International Conference on Awareness Science and Technology (iCAST), 2011, pp. 243-246.
11. M. Karbasi, S. Ahadi, M. Bahmanian, Environmental sound classification using spectral dynamic features, in: 8th International Conference on Information, Communications and Signal Processing (ICICS) 2011, pp. 1-5.
12. C. Kraetzer, A. Oermann, J. Dittmann, A. Lang, Digital audio forensics: a first practical evaluation on microphone and environment classification, in: Proc. ACM Multi Media and Security, 2007, pp. 63-74.
13. K. Lee, D.P.W. Ellis, Detecting music in ambient audio by long-window autocorrelation, in: ICASSP, 2008, pp. 9-12.
14. Y. Li, A classification method for environmental audio data, in: 2010 2nd International Conference on Advanced Computer Control (ICACC), 2010, pp. 355-361.
15. Y. Li, Y. Li, Eco-environmental sound classification based on matching pursuit and support vector machine, in: 2nd International Conference on Information Engineering and Computer Science (ICIECS), China, 2010, pp. 1-4.
16. C.-C. Lin, S.-H.Chen, T.-K. Truong, Y. Chang, Audio classification and categorization based on wavelets and support vector machine, IEEE Transactions on Speech and Audio Processing 13 (2005) 644-651.
17. H. Lozano, I. Hernáez, A. Picón, J. Camarena, and E. Navas Audio classification techniques in home environments for elderly/dependant people Proceedings of the 12th International Conference on Computers Helping People with Special Needs: Part I, ICCHP'10 2010 Springer-Verlag Berlin, Heidelberg 320 323
18. O. Makeyev, E. Sazonov, S. Schuckers, E. Melanson, M. Neuman, Limited receptive area neural classifier for recognition of swallowing sounds using short-time fourier transform, in: Proc. International Joint Conference on Neural Networks IJCNN 2007, Orlando, USA, 2007.
19. R. Malkin, A. Waibel, Classifying user environment for mobile applications using linear autoencoding of ambient audio, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), USA, 2005, pp. 509-512.
20. F.S. Marzano, D. Scaranari, and G. Vulpiani Supervised fuzzy-logic classification of hydrometeors using c-band weather radars IEEE Transactions on Geoscience and Remote Sensing 45 2007 3784 3799
21. S. Ntalampiras, I. Potamitis, N. Fakotakis, Automatic recognition of urban environmental sounds events, in: Proc. International Association for Pattern Recognition Workshop on Cognitive Information Processing, 2008, pp. 110-113.
22. S. Rein, and M. Reisslein Identifying the classical music composition of an unknown performance with wavelet dispersion vector and neural nets Information Sciences 176 2006 1629 1655
23. Y. Toyoda, J. Huang, S. Ding, and Y. Liu Environmental sound recognition by multilayered neural networks Proceedings of the Fourth International Conference on Computer and Information Technology, CIT '04 2004 IEEE Computer Society Washington, DC, USA 123 127
24. E. Tsau, S. Chachada, C.C. Kuo, Content/context-adaptive feature selection for environmental sound recognition, in: Signal Information Processing Association Annual Summit and Conference (APSIPA ASC), Asia-Pacific, 2012, pp. 1-5.
25. J. Wang, J. Wang, K. He, and C. Hsu Environmental sound classification using hybrid svm/knn classifier and mpeg-7 audio lowlevel descriptor Proc 2006 IEE International Joint Conference on Neural Networks 1731 1735
26. J.C. Wang, H.P. Lee, J.F. Wang, and C.B. Lin Robust environmental sound recognition for home automation IEEE Transactions on Robotics and Automation 5 2008 25 31
27. J.C. Wang, H.P. Lee, J.F. Wang, and C.B. Lin Robust environmental sound recognition for home automation IEEE Transactions on Automation Science and Engineering [see also IEEE Transactions on Robotics and Automation] 5 2008 25 31
28. K. Yoshii, M. Goto, and H.G. Okuno Drum sound recognition for polyphonic audio signals byadaptation and matching of spectrogram templates with harmonic structure suppression IEEE Transactions on Audio, Speech, and Language Processing 15 2007 333 345