Unifying semantic and content-based approaches for retrieval of environmental sounds

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2009, Pages 13-16

  Wichern, Gordon ^a   Thornburg, Harvey ^a   Spanias, Andreas ^a  

^a Arizona State University   (United States)

Author keywords

Acoustic signal analysis; Clustering methods; Database query processing; Hidden markov models

Indexed keywords

ACOUSTIC CHARACTERISTIC; ACOUSTIC SIGNAL ANALYSIS; AUTOMATIC ANNOTATION; CLUSTERING METHODS; CONTENT-BASED APPROACH; CONTENT-BASED QUERIES; DATABASE QUERY PROCESSING; ENVIRONMENTAL SOUNDS; EXPERT USERS; INTEGRATED SYSTEMS; LINK WEIGHTS; ONTOLOGICAL FRAMEWORKS; PERCEPTUAL SIMILARITY; PREFERENCE DATA; SEMANTIC TAGS; TEXT-BASED RETRIEVAL;

ACOUSTIC WAVES; AUDIO SIGNAL PROCESSING; CLUSTER ANALYSIS; DATABASE SYSTEMS; HIDDEN MARKOV MODELS; INFORMATION RETRIEVAL; INTEGRATED OPTICS; QUERY PROCESSING; SEMANTICS; SIGNAL ANALYSIS; SIGNAL PROCESSING;

AUDIO ACOUSTICS;

EID: 76949096922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2009.5346493     Document Type: Conference Paper

References (16)

1. S. Feld, Sound and sentiment : birds, weeping, poetics, and song in Kaluli expression. Philadelphia, PA: University of Pennsylvania Press, 1990.
2. M. Duarte and Y. H. Hu, "Vehicle classification in distributed sensor networks," J. Parallel Distr. Comp., vol. 64, pp. 826-838, 2004.
3. M. A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney, "Content-based music information retrieval: Current directions and future challenges," Proc. IEEE, vol. 96, no. 4, pp. 668-696, 2008.
4. M. Slaney, "Semantic-audio retrieval," in IEEE ICASSP, Orlando, Florida, 2002.
5. B. Whitman and D. Ellis, "Automatic record reviews," in Proc. ISMIR, 2004, pp. 470-477.
6. D. Turnbull, L. Barrington, D. Torres, and G. Lanckriet, "Semantic annotation and retrieval of music and sound effects," IEEE Trans. Audio, Speech and Language Processing, vol. 16, pp. 467-476, 2008.
7. G. Chechik, E. Le, M. Rehn, S. Bengio, and D. Lyon, "Large-scale content-based audio retrieval from text queries," in ACM MIR, Vancouver, BC, 2008.
8. P. Cano, M. Koppenberger, S. Le Groux, J. Ricard, P. Herrera, and N. Wack, "Nearest-neighbor generic sound classification with a WordNet-based taxonomy," in Proc. 116th AES Convention, Berlin, Germany, 2004.
9. "WordNet," http://wordnet.princeton.edu/.
10. J. Xue, G. Wichern, H. Thornburg, and A. S. Spanias, "Fast query by example of environmental sounds via robust and efficient clusterbased indexing," in IEEE ICASSP", Las Vegas, NV, 2008.
11. "Freesound," http://www.freesound.org.
12. G. Wichern, H. Thornburg, B. Mechtley, A. Fink, K. Tu, and A. Spanias, "Robust multi-feature segmentation and indexing for natural and environmental sounds," in IEEE CBMI, Bordeaux, Fr., 2007.
13. G.Wichern, J. Xue, H. Thornburg, and A. Spanias, "Distortion-aware query by example for environmental sounds," in IEEE WASPAA, New Paltz, NY, 2007.
14. B. H. Huang and L. R. Rabiner, "A probabilistic distance measure for hidden Markov models," AT&T Tech. Journal, vol. 64, pp. 1251-1270, 1985.
15. T. H. Cormen, C. E. Leiserson, and R. L. Rivest, Introduction to Algorithms (2nd ed.). Cambridge: MIT Press and McGraw-Hill, 2001.
16. K. Dobson, B.Whitman, and D. P.W. Ellis, "Learning auditory models of machine voices," in IEEE WASPAA, New Paltz, NY, 2005.