메뉴 건너뛰기




Volumn , Issue , 2013, Pages 261-265

Graph-based multi-sensor fusion for acoustic signal classification

Author keywords

Acoustic signal classification; discriminative graphs; multiple measurements; symbolic features

Indexed keywords

ACOUSTIC SIGNALS; CONDITIONAL CORRELATION; CONVENTIONAL CLASSIFIER; DISCRIMINATIVE GRAPHS; MULTIPLE MEASUREMENTS; PROBABILISTIC GRAPHICAL MODELS; SIMULTANEOUS ACQUISITION; SYMBOLIC FEATURES;

EID: 84890488674     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6637649     Document Type: Conference Paper
Times cited : (6)

References (22)
  • 3
    • 44849144388 scopus 로고    scopus 로고
    • Scream and gunshot detection and localization for audio-surveillance systems
    • G. Valenzise, et al., "Scream and gunshot detection and localization for audio-surveillance systems," in IEEE Conf. Adv. Video Signal Surveill., 2007, pp. 21-26.
    • (2007) IEEE Conf. Adv. Video Signal Surveill. , pp. 21-26
    • Valenzise, G.1
  • 4
    • 84863764240 scopus 로고    scopus 로고
    • DSP based acoustic vehicle classification for multi-sensor real-time traffic surveillance
    • A. Klausner, S. Erb, A. Tengg, and B. Rinner, "DSP based acoustic vehicle classification for multi-sensor real-time traffic surveillance," in Proc. Europ. Signal Process. Conf., 2007, pp. 1916-1920.
    • (2007) Proc. Europ. Signal Process. Conf. , pp. 1916-1920
    • Klausner, A.1    Erb, S.2    Tengg, A.3    Rinner, B.4
  • 5
    • 0034273520 scopus 로고    scopus 로고
    • Content-based classification and retrieval of audio using the nearest feature line method
    • S. Z. Li, "Content-based classification and retrieval of audio using the nearest feature line method," IEEE Trans. Speech Audio Process., vol. 8, pp. 619-625, 2000.
    • (2000) IEEE Trans. Speech Audio Process , vol.8 , pp. 619-625
    • Li, S.Z.1
  • 6
    • 0017542202 scopus 로고
    • The cepstrum: A guide to processing
    • D. G. Childers, D. P. Skinner, and R. C. Kemerait, "The cepstrum: A guide to processing," Proc. IEEE, vol. 65, no. 10, pp. 1428-1443, 1977.
    • (1977) Proc. IEEE , vol.65 , Issue.10 , pp. 1428-1443
    • Childers, D.G.1    Skinner, D.P.2    Kemerait, R.C.3
  • 7
    • 0000134970 scopus 로고
    • A wavelet-packet approach to transient signal classification
    • R. E. Learned and A. S. Willsky, "A wavelet-packet approach to transient signal classification," Applied Computational and Harmonic Analysis, vol. 2, no. 3, pp. 265-278, 1995.
    • (1995) Applied Computational and Harmonic Analysis , vol.2 , Issue.3 , pp. 265-278
    • Learned, R.E.1    Willsky, A.S.2
  • 8
    • 0034942631 scopus 로고    scopus 로고
    • Optimized time-frequency distributions for acoustic signal classification
    • M. Till and S. Rudolph, "Optimized time-frequency distributions for acoustic signal classification," in Proc. SPIE, Wavelet Applications VIII, vol. 4391, 2001, pp. 81-91.
    • (2001) Proc. SPIE, Wavelet Applications VIII , vol.4391 , pp. 81-91
    • Till, M.1    Rudolph, S.2
  • 10
    • 0028026340 scopus 로고
    • Transient sonar signal classification using hidden Markov models and neural nets
    • A. Kundu, G. C. Chen, and C. E. Persons, "Transient sonar signal classification using hidden Markov models and neural nets," IEEE J. Ocean. Eng., vol. 19, no. 1, pp. 87-99, 1994.
    • (1994) IEEE J. Ocean. Eng. , vol.19 , Issue.1 , pp. 87-99
    • Kundu, A.1    Chen, G.C.2    Persons, C.E.3
  • 11
    • 0037279492 scopus 로고    scopus 로고
    • Content-based audio classification and retrieval by support vector machines
    • G. Guo and S. Z. Li, "Content-based audio classification and retrieval by support vector machines," IEEE Trans. Neural Netw., vol. 14, pp. 209-215, 2003.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , pp. 209-215
    • Guo, G.1    Li, S.Z.2
  • 12
    • 3543087978 scopus 로고    scopus 로고
    • Applications of support vector machines to speech recognition
    • A. Ganapathiraju, J. E. Hamaker, and J. Picone, "Applications of support vector machines to speech recognition," IEEE Trans. Signal Processing, vol. 52, no. 8, pp. 2348-2355, 2004.
    • (2004) IEEE Trans. Signal Processing , vol.52 , Issue.8 , pp. 2348-2355
    • Ganapathiraju, A.1    Hamaker, J.E.2    Picone, J.3
  • 14
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • Feb.
    • J. Wright, et al., "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Machine Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
    • (2009) IEEE Trans. Pattern Anal. Machine Intell. , vol.31 , Issue.2 , pp. 210-227
    • Wright, J.1
  • 15
    • 79953814103 scopus 로고    scopus 로고
    • Learning graphical models for hypothesis testing and classification
    • Nov.
    • V. Y. F. Tan, S. Sanghavi, J. W. Fisher, and A. S. Willsky, "Learning graphical models for hypothesis testing and classification," IEEE Trans. Signal Processing, vol. 58, no. 11, pp. 5481-5495, Nov. 2010.
    • (2010) IEEE Trans. Signal Processing , vol.58 , Issue.11 , pp. 5481-5495
    • Tan, V.Y.F.1    Sanghavi, S.2    Fisher, J.W.3    Willsky, A.S.4
  • 17
    • 33745496690 scopus 로고    scopus 로고
    • Symbolic time series analysis via wavelet-based partitioning
    • V. Rajagopalan and A. Ray, "Symbolic time series analysis via wavelet-based partitioning," Signal Processing, vol. 86, pp. 3309-3320, 2006.
    • (2006) Signal Processing , vol.86 , pp. 3309-3320
    • Rajagopalan, V.1    Ray, A.2
  • 19
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families and variational inference
    • M. J. Wainwright and M. I. Jordan, "Graphical models, exponential families and variational inference," Foundations and Trends in Machine Learning, vol. 1, no. 1-2, pp. 1-305, 2008.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2
  • 20
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • Mar.
    • C. K. Chow and C. N. Liu, "Approximating discrete probability distributions with dependence trees," IEEE Trans. Inform. Theory, vol. 14, no. 3, pp. 462-467, Mar. 1968.
    • (1968) IEEE Trans. Inform. Theory , vol.14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 21
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • Mar.
    • G. F. Cooper, "The computational complexity of probabilistic inference using Bayesian belief networks," Artificial Intelligence, vol. 42, pp. 393-405, Mar. 1990.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.