A set of audio features for the morphological description of vocal imitations

DAFx 2015 - Proceedings of the 18th International Conference on Digital Audio Effects

Volumn , Issue , 2015, Pages

  Marchetto, Enrico ^a   Peeters, Geoffroy ^a  

^a Université Pierre et Marie Curie Paris 6   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; INVERSE PROBLEMS; MARKOV PROCESSES;

AUTOMATIC ESTIMATION; CONTINUOUS HIDDEN MARKOV MODEL; CURRENT PROJECTS; MORPHOLOGICAL ASPECTS; MORPHOLOGICAL DESCRIPTION; NUMBER OF PEOPLES; SOUND SYNTHESIS; SYNTHESIS PARAMETERS;

AUDIO ACOUSTICS;

EID: 85006467004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. G. Lemaitre and D. Rocchesso, "On the effectiveness of vocal imitations and verbal descriptions of sounds," Journal of the Acoustical Society of America, vol. 135, no. 2, pp. 862- 873, 2014.
2. G. Lemaitre, A. Dessein, K. Aura, and P. Susini, "Do vocal imitations enable the identification of the imitated sounds?," in Proceedings of the 8th annual Auditory Perception, Cognition and Action Meeting (APCAM 2009), Boston, MA.
3. G. Lemaitre, A. Dessein, P. Susini, and K. Aura, "Vocal imitations and the identification of sound events," Ecological Psychology, vol. 23, no. 4, pp. 267-307, 2011.
4. M. Cartwright and B. Pardo, "VocalSketch: Vocally imitating audio concepts," in Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2015.
5. Guillaume Lemaitre and Davide Rocchesso, "On the effectiveness of vocal imitations and verbal descriptions of sounds," The Journal of the Acoustical Society of America, vol. 135, no. 2, pp. 862-873, 2014.
6. Lawrence Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, no. 2, pp. 257-286, 1989.
7. S. Furui, Digital Speech Processing, Synthesis, and Recognition, New York: Marcel Dekker, 2000.
8. Lawrence R. Rabiner and Biing-Hwang Juang, Fundamentals of speech recognition, vol. 14, PTR Prentice Hall Englewood Cliffs, 1993.
9. Biing-Hwang Juang and Lawrence R Rabiner, "Automatic speech recognition-a brief history of the technology development," Georgia Institute of Technology. Atlanta Rutgers University and the University of California. Santa Barbara, vol. 1, 2005.
10. Mohamed Benzeghiba, Renato De Mori, Olivier Deroo, Stephane Dupont, Teodora Erbes, Denis Jouvet, Luciano Fissore, Pietro Laface, Alfred Mertins, Christophe Ris, et al., "Automatic speech recognition and speech variability: A review," Speech Communication, vol. 49, no. 10, pp. 763-786, 2007.
11. George Saon and Jen-Tzung Chien, "Large-vocabulary continuous speech recognition systems: A look at some recent advances," Signal Processing Magazine, IEEE, vol. 29, no. 6, pp. 18-33, 2012.
12. Kazushi Ishihara, Tomohiro Nakatani, Tetsuya Ogata, and Hiroshi G Okuno, "Automatic sound-imitation word recognition from environmental sounds focusing on ambiguity problem in determining phonemes," in PRICAI 2004: Trends in Artificial Intelligence, pp. 909-918. Springer, 2004.
13. Shiva Sundaram and Shrikanth Narayanan, "Vector-based representation and clustering of audio using onomatopoeia words," in Proceedings of the American Association for Artificial Intelligence (AAAI) symposium series. Arlington, VA, 2006.
14. S. Sundaram and S. Narayanan, "Classification of sound clips by two schemes: Using onomatopoeia and semantic labels," in Multimedia and Expo, 2008 IEEE International Conference on, June 2008, pp. 1341-1344.
15. P. Schaeffer, Trait des objets musicaux, Paris: Seuil, 1966.
16. Julien Ricard and Perfecto Herrera, "Morphological sound description: Computational model and usability evaluation," in Audio Engineering Society Convention 116. Audio Engineering Society, 2004.
17. Geoffroy Peeters and Emmanuel Deruty, "Sound indexing using morphological description," Audio, Speech, and Language Processing, IEEE Transactions on, vol. 18, no. 3, pp. 675-687, March 2010.
18. Marijn Huijbregts and Franciska de Jong, "Robust speech/non-speech classification in heterogeneous multimedia content," Speech Communication, vol. 53, no. 2, pp. 143- 153, 2011.
19. M. Ito and Robert W. Donaldson, "Zero-crossing measurements for analysis and recognition of speech sounds," Audio and Electroacoustics, IEEE Transactions on, vol. 19, no. 3, pp. 235-242, 1971.
20. Javier Ramirez, José C. Segura, Carmen Benitez, Angel De La Torre, and Antonio Rubio, "Efficient voice activity detection algorithms using long-term speech information," Speech Communication, vol. 42, no. 3, pp. 271-287, 2004.
21. Geoffroy Peeters, "A large set of audio features for sound description (similarity and classification) in the Cuidado project," Cuidado project report, IRCAM, 2004.
22. A. Camacho and J. G. Harris, "A sawtooth waveform inspired pitch estimator for speech and music," Journal of the Acoustical Society of America, vol. 124, pp. 1638-1652, 2008.
23. S. McCandless, "An algorithm for automatic formant extraction using linear prediction spectra," Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 22, no. 2, pp. 135-141, Apr 1974.
24. J. D. Markel and A. H. Gray, Linear Prediction of Speech, Springer-Verlag, 1976.