JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Acoustic scene classification using recurrence quantification analysis
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Acoustic scene classification using recurrence quantification analysis
Park, Sangwook; Choi, Woohyun; Ko, Hanseok;
  PDF(new window)
 Abstract
Since a variety of sound occur in same place and similar sound occurs in other places, the performance of acoustic scene classification is not guaranteed in case of insufficient training data. A Bag of Words (BOW) based histogram feature is foreseen as a method to overcome the problem. However, since the histogram features is made by using a feature distribution, the ordering of sequence of features is ignored. A temporal information such as periodicity and stationarity are also important for acoustic scene classification. In this paper, temporal features about a periodicity and a stationarity are extracted by using a recurrent quantification analysis. In the experiment, performance of the proposed method is shown better than other baseline methods.
 Keywords
Acoustic scene classification;Bag of Words (BOW);Recurrence quantification analysis;Support vector machine;
 Language
Korean
 Cited by
 References
1.
W. Choi, S. Kim, M. Keum, D. K. Han, and H. Ko, "Acoustic and visual signal based context awareness system for mobile application," IEEE Trans. Cons. Elec. 57, 738-746 (2011). crossref(new window)

2.
S. Chu, S. Narayanan, C.-C. Jay Kuo, and M. J. Matari, "Where am I? Scene recognition for mobile robots using audio features," in Proc. IEEE Int. Conf. Multimedia and Expo., 885-888 (2006).

3.
Y. Xu, W. J. Li, and K. K. Lee, Intelligent Wearable Interfaces, (John Wiley & Sons, New Jersey, 2008).

4.
T. Heittola, A. Mesaros, A. Eronen, and T. Virtanen, "Context-dependent sound event detection." EURASIP J. Audio, Speech, and Music Process. 1, 1-13 (2013).

5.
D. Barchiesi, D. Giannoulis, D. Stowell, and M.D. Plumbley, "Acoustic Scene Classification," IEEE Sig. Process. Mag. 32, 16-34, (2015).

6.
S. Park, W. Choi, and H. Ko, "Frequency-cepstral features for bag of words based acoustic context awareness" (in Korea), J. Acoust. Soc. Kr. 33, 248-254 (2014). crossref(new window)

7.
J. P. Zbilut and C. L. Webber, Wiley Encyclopedia Biomedical Engineering: Recurrence quantification analysis, (John Wiley & Sons, New Jersey, 2006), pp. 1-9.

8.
V. Carletti, P. Foggia, G. Percannella, A. Saggese, N.Strisciuglio, and M. Vento, "Audio surveillance using a bag of aural words classifier," in Proc. IEEE Int. Conf. Ad. Video and Sig. Surveil., 81-86 (2013).

9.
C.C. Chang and C.J. Lin, "LIBSVM : a library for support vector machines," ACM Trans. Intelligent Sys. and Tech.,2, 1-27 (2011).