Sound indexing using morphological description

IEEE Transactions on Audio, Speech and Language Processing

Volumn 18, Issue 3, 2010, Pages 675-687

  Peeters, Geoffroy ^a   Deruty, Emmanuel ^a  

^a CNRS   (France)

Author keywords

Audio features; Audio similarity; Automatic indexing; Loudness; Sound description

Indexed keywords

AUDIO FEATURES; AUTOMATIC CLASSIFICATION; B-SPLINE MODELS; CLASSIFICATION TASKS; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MORPHOLOGICAL DESCRIPTION; NON-ITERATIVE; SECOND ORDERS; SIMILARITY FUNCTIONS; SIMILARITY MATRIX; SOUND EFFECTS; SOUND SAMPLE; TEMPORAL EVOLUTION;

ACOUSTIC PROPERTIES; AUTOMATIC INDEXING; SPLINES;

AUDIO ACOUSTICS;

EID: 76949107820     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2009.2038809     Document Type: Article

References (50)

1. K. Martin, "Sound source recognition: A theory and computational model," Ph.D. dissertation, Mass. Inst. of Technol., Cambridge, 1999.
2. A. Eronen, "Comparison of features for musical instrument recognition," in Proc. IEEE WASPAA, New Paltz, NY, 2001, pp. 19-22.
3. G. Peeters, "Automatic classification of large musical instrument databases using hierarchical classifiers with inertia ratio maximization," in Proc. AES 115th Conv., New York, 2003.
4. S. Essid, "Classification automatique des signaux audio-fréquences: Reconnaissance des instruments de musique," Ph.D. dissertation, Telecom ParisTech, Paris, France, 2005.
5. P. Herrera, A. Dehamel, and F. Gouyon, "Automatic labeling of unpitched percussion sounds," in Proc. AES 114th Convention, Amsterdam, The Netherlands, 2003.
6. M. Casey, "General sound similarity and sound recognition tools," in Introduction to MPEG-7 : Multimedia Content Description Language, B. Manjunath, P. Salembier, and T. Sikora, Eds. Chichester, U.K.: Wiley Europe, 2002.
7. E. Wold, T. Blum, D. Keislar, and J. Wheaton, "Content-based classification search and retrieval of audio," IEEE Multimedia, vol.3, no.3, pp. 27-36, 1996.
8. N. Misdariis, B. Smith, D. Pressnitzer, P. Susini, and S. McAdams, "Validation of a multidimensional distance model for perceptual dissimilarities among musical timbres," in Proc. 135th Meet. Acoust. Soc. Amer./16th Int. Congr. Acoust., Seattle, WA, 1998.
9. G. Peeters, S. McAdams, and P. Herrera, "Instrument sound description in the context of MPEG-7," in Proc. ICMC, Berlin, Germany, 2000, pp. 166-169.
10. Comparisonics, 2008 [Online]. Available: http://www.findsounds. com/
11. A. Faure, "Des sons aux mots: Comment parle-t-on du timbre musical ?," Ph.D. dissertation, Ecoles des Hautes Etudes en Sciences Sociales, Paris, France, 2000.
12. P. Schaeffer, Traité des Objets Musicaux. Paris, France: Seuil, 1966.
13. M. Chion, Guide des Objets Sonores. Paris, France: Buchet/Chastel, 1983.
14. J. Ricard and P. Herrera, "Morphological sound description: Computational model and usability evaluation," in Proc. AES 116th Conv., Berlin, Germany, 2004.
15. C. Olivier, "La recherche intelligente de sons," M.S. thesis, Univ. de Provence, Provence, France, 2006.
16. R. Leblanc, "Elaboration d'un systeme de classification pour sons figuratifs non instrumentaux," DESS, Universite Pierre et Marie Curie, Paris, France, 2000.
17. P. Mullon, Y. Geslin, and M. Jacob, "Ecrins: an audio-content description environment for sound samples," in Proc. ICMC, Goteborg, Sweden, 2002.
18. E. Deruty, "Ecrins report: Descripteurs morphologiques/sons essentiels," Ecrins Project Rep. Ircam, 2001.
19. G. Peeters, "A large set of audio features for sound description (similarity and classification) in the Cuidado Project." Cuidado Project Rep. Ircam, 2004.
20. A. Meng, P. Ahrendt, J. Larsen, and L. Hansen, "Temporal feature integration for music genre classification," IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.5, pp. 1654-1664, 2007.
21. G. Peeters and X. Rodet, "Music structure discovering using dynamic audio features for audio summary generation: Sequence and state approach," in Proc. CBMI (Int. Workshop Content-Based Multimedia Indexing), Rennes, France, 2003, pp. 207-214.
22. B. Whitman and D. Ellis, "Automatic record reviews," in Proc. ISMIR, Barcelona, Spain, 2004.
23. S. Greenberg and B. E. D. Kingsburyy, "The modulation spectrogram: In pursuit of an invariant representation of speech," in Proc. IEEE ICASSP, Munich, Germany, 1997, vol.3, pp. 1647-1650.
24. G. Peeters, "A generic system for audio indexing: Application to speech/ music segmentation and music genre," in Proc. DAFX, Bordeaux, France, 2007.
25. "The Series 6000 The General Sound Effects Library," Sound-Ideas, 1992.
26. B. Moore, B. Glasberg, and T. Baer, "A model for the prediction of thresholds loudness and partial loudness," J. Audio Eng. Soc., vol.45, pp. 224-240, 1997.
27. E. Zwicker and E. Terhardt, "Analytical expression for critical-band rate and critical bandwidth as a function of frequency," J. Acoust. Soc. Amer., vol.68, pp. 1523-1525, 1980.
28. E. Zwicker, "Procedure for calculating loudness of temporally variable sounds," J. Acoust. Soc. Amer., vol.62, no.3, pp. 675-682, 1977.
29. J. Foote, "Visualizing music and audio using self-similarity," in Proc. ACM Int. Conf. Multimedia, Orlando, FL, 1999, pp. 77-84.
30. M. Bartsch and G.Wakefield, "To catch a chorus: Using chroma-based representations for audio thumbnailing," in Proc. IEEE WASPAA, New Paltz, NY, 2001, pp. 15-18.
31. G. Peeters, "Modeles et modelisation du signal sonore adaptes a ses caracteristiques locales," Ph.D. dissertation, Universite Paris VI, Paris, France, 2001.
32. B. Doval and X. Rodet, "Fundamental frequency estimation and tracking using maximum likelihood harmonic matching and HMMs," in Proc. IEEE ICASSP, Minneapolis, MN, 1993, vol.1, pp. 221-224.
33. A. deCheveigne and H. Kawahara, "Yin, a fundamental frequency estimator for speech and music," J. Acoust. Soc. Amer., vol.111, no.4, pp. 1917-1930, 2002.
34. R. Maher and J. Beauchamp, "Fundamental frequency estimation of musical signals using a two-way mismatch procedure," J. Acoust. Soc. Amer., vol.95, no.4, pp. 2254-2263, 1994.
35. C. Yeh, A. Roebel, and X. Rodet, "Multiple fundamental frequency estimation of polyphonic music signals," in Proc. IEEE ICASSP, Philadelphia, PA, 2005, vol.3, pp. 225-228.
36. P. Herrera, A. Klapuri, and M. Davy, "Automatic classification of pitched musical instrument sounds," in Signal Processing Methods for Music Transcription, A. Klapuri and M. Davy, Eds. New York: Springer-Verlag, 2006.
37. Music Information Retrieval Evaluation Exchange, MIREX, 2005,2006,2007,2008.
38. G. Peeters and X. Rodet, "Hierachical Gaussian tree with inertia ratio maximization for the classification of large musical instrument database," in Proc. DAFX, London, U.K., 2003, pp. 318-323.
39. M. Hall, "Feature Selection for Discrete and Numeric Class Machine Learning," Tech. Rep. 1999.
40. G. Box and D. Cox, "An analysis of transformations," J. R. Statist. Soc., pp. 211-252, 1964.
41. R. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugenics, vol.7, pp. 179-188, 1936.
42. E. Frank and I. Witten, "Generating accurate rule sets without global optimization," in Proc. Int. Conf. Mach. Learn.(ICML), 1998, pp. 144-151.
43. E. Frank, L. Trigg, M. Hall, and R. Kirkby,Weka:Waikato Environment for Knowl. Anal., 1999-2000.
44. L. Rabiner, "A tutorial on hidden Markov model and selected applications in speech," Proc. IEEE, vol.77, pp. 257-285, 1989.
45. O. Izmirli, "Using a spectral flatness based feature for audio segmentation and retrieval," in Proc. ISMIR, Pymouth, MA, 2000.
46. MPEG-7, "Information Technology -Multimedia Content Description Interface - Part 4: Audio," 2002.
47. D. Jiang, L. Lu, H.-J. Zhang, J.-H. Tao, and L.-H. Cai, "Music type classification by spectral contrast," in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Lausanne, Switzerland, 2002.
48. G. Wakefield, "Mathematical representation of joint time-chroma distributions," in Proc. SPIE Conf. Adv. Signal Process. Algorithms, Architecture, Implementations, Denver, CO, 1999, pp. 637-645.
49. T. Fujishima, "Realtime chord recognition of musical sound: A system using common lisp music," in Proc. ICMC, Bejing, China, 1999, pp. 464-467.
50. S. McAdams, S. Windsberg, S. Donnadieu, G. DeSoete, and J. Krimphoff, "Perceptual scaling of synthesized musical timbres: Common dimensions specificities and latent subject classes," Psychological Res. , vol.58, pp. 177-192, 1995.