Arousal-driven synthesis of laughter

IEEE Journal on Selected Topics in Signal Processing

Volumn 8, Issue 2, 2014, Pages 273-284

  Urbain, Jérôme ^a   Çakmak, Hüseyin ^a   Charlier, Aurélie ^a   Denti, Maxime ^b   Dutoit, Thierry ^a   Dupont, Stéphane ^a  

^a UNIVERSITY OF MONS   (Belgium)

^b Multitel   (Belgium)

Author keywords

arousal signal; Laughter; phonetic transcriptions generation; synthesis

Indexed keywords

BETTER PERFORMANCE; EVALUATION EXPERIMENTS; HIGH-LEVEL SIGNALS; HMM-BASED SPEECH SYNTHESIS; LAUGHTER; MAN-MACHINE INTERFACE; PHONETIC TRANSCRIPTIONS;

SPEECH SYNTHESIS; SYNTHESIS (CHEMICAL); TRANSCRIPTION;

LINGUISTICS;

EID: 84897860061     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2014.2309435     Document Type: Article

References (36)

1. J. Urbain, H. Cakmak, and T. Dutoit, "Evaluation of HMM-based laughter synthesis," in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Vancouver, BC, Canada, May 2013.
2. P. J. Glenn, Laughter in Interaction. Cambridge, U.K.: Cambridge Univ. Press, 2003.
3. W. Ruch and P. Ekman, "The expressive pattern of laughter," in Emotion, Qualia and Consciousness, A. Kaszniak, Ed. Tokyo, Japan: World Scientific, 2001, pp. 426-443.
4. J.-A. Bachorowski, M. J. Smoski, and M. J. Owren, "The acoustic features of human laughter," J. Acoust. Soc. Amer., vol. 110, no. 3, pp. 1581-1597, Sep. 2001.
5. W. Chafe, The Importance of not Being Earnest. The Feeling Behind Laughter and Humor, ser. Consciousness & Emotion Book Series. Amsterdam, The Netherlands: John Benjamins, 2007, vol. 3, paperback 2009 ed.
6. M. S. Edmonson, "Notes on laughter," Anthropol. Linguist., pp. 23-34, 1987.
7. W. Ruch, "Exhilaration and humor," Handbook of Emotions, vol. 1, pp. 605-616, 1993.
8. S. Sundaram and S. Narayanan, "Automatic acoustic synthesis of human-like laughter," J. Acoust. Soc. Amer., vol. 121, no. 1, pp. 527-535, Jan. 2007. (Pubitemid 46102798)
9. E. Lasarcyk and J. Trouvain, "Imitating conversational laughter with an articulatory speech synthesis," in Proc. Interdisciplinary Workshop Phon. Laugh., Saarbrücken, Germany, Aug. 2007, pp. 43-48.
10. J. Trouvain, "Segmenting phonetic units in laughter," in Proc. 15th Int. Congr. Phon. Sci., Barcelona, Spain, Aug. 2003, pp. 2793-2796.
11. J. Urbain, E. Bevacqua, T. Dutoit, A. Moinet, R. Niewiadomski, C. Pelachaud, B. Picart, J. Tilmanne, and J. Wagner, "The AVLaugh-terCycle database," in Proc. 7th Conf. Int. Lang. Resources Eval. (LREC'10), Valletta, Malta, May 2010.
12. J. Urbain and T. Dutoit, "A phonetic analysis of natural laughter, for use in automatic laughter processing systems," in Proc. 4th Bi-Annu. Int. Conf. HUMAINE Assoc. Affective Comput. Intell. Interact. (ACII'11), Memphis, TN, Oct. 2011, pp. 397-406.
13. P. Ladefoged, "A course in phonetics," Jan. 20, 2011 [Online]. Available: http://hctv.humnet.ucla.edu/departments/linguistics/Vowel- sandConsonants/course/chapter1/chapter1.html
14. W. F. Ruch, J. Hofmann, and T. Platt, "Investigating facial features of four types of laughter in historic illustrations," Eur. J. Humour Res., vol. 1, no. 1, pp. 99-118, 2013.
15. R. Niewiadomski, J. Urbain, C. Pelachaud, and T. Dutoit, "Finding out the audio and visual features that influence the perception of laughter intensity and differ in inhalation and exhalation phases," in Proc. ES '12 4th Int. Workshop Corpora for Research on Emotion, Sentiment, Social Signals, Satellite of LREC '12, Istanbul, Turkey, May 2012.
16. T. Drugman, J. Urbain, N. Bauwens, R. Chessini, C. Valderrama, P. Lebecque, and T. Dutoit, "Objective study of sensor relevance for automatic cough detection," IEEE Trans. Inf. Technol. BioMed., vol. 7, no. 3, pp. 699-707, May 2013.
17. G. Peeters, "A large set of audio features for sound description (similarity and classification) in the CUIDADO Project," Inst. de Recherche et Coordination Acoustique/Musique (IRCAM), 2004, Tech. Rep.
18. T. Drugman, T. Dubuisson, and T. Dutoit, "Phase-based information for voice pathology detection," in Proc. '11 IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2011, pp. 4612-4615.
19. D. P. Ellis and G. E. Poliner, "Identifying cover songs' with chroma features and dynamic programming beat tracking," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP '07), 2007, vol. 4, pp. 1429-1432.
20. T. Drugman and A. Alwan, "Joint robust voicing detection and pitch estimation based on residual harmonics," in Proc. Interspeech '11, Florence, Italy, Aug. 2011.
21. D. Talkin, "A robust algorithm for pitch tracking (RAPT)," Speech Coding Synth., vol. 495, p. 518, 1995.
22. K. Sjölander, The Snack sound toolkit [computer program]. 2004 [Online]. Available: http://www.speech.kth.se/snack, Retrieved February 10, 2011
23. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. Witten, "The WEKA data mining software: An update," ACM SIGKDD Explorations Newslett., vol. 11, no. 1, pp. 10-18, 2009.
24. M. A. Hall, "Correlation-based feature subset selection for machine learning," Ph.D. dissertation, Univ. of Waikato, Hamilton, New Zealand, 1998.
25. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Ki-tamura, "Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis," in Proc. Eurospeech, Budapest, Hungary, 1999.
26. K. Tokuda, T. Yoshimura, T. Masuko, T. Kobayashi, and T. Kitamura, "Speech parameter generation algorithms for HMM-based speech synthesis," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP '00), 2000, vol. 3, pp. 1315-1318.
27. K. Oura, HMM-based speech synthesis system (HTS) [computer program webpage]. 2011 [Online]. Available: http://hts.sp.nitech.ac.jp/, consulted on June 22
28. S. Young and S. Young, "The HTK hidden Markov model toolkit: Design and philosophy," Entropic Cambridge Research Laboratory, Ltd., 1994.
29. H. Kawahara, "STRAIGHT, exploitation of the other aspect of vocoder: Perceptually isomorphic decomposition of speech sounds," Acoust. Sci.Technol., vol. 27, no. 6, pp. 349-353, 2006. (Pubitemid 44728687)
30. T. Drugman, G. Wilfart, and T. Dutoit, "A deterministic plus stochastic model of the residual signal for improved parametric speech synthesis," in Proc. Interspeech, 2009, pp. 1779-1782.
31. H. Zen, T. Nose, J. Yamagishi, S. Sako, T. Masuko, A. Black, and K. Tokuda, "The HMM-based speech synthesis system (HTS) version 2.0," in Proc. 6th ISCA Workshop Speech Synth., 2007, pp. 294-299.
32. H. Zen, "An example of context-dependent label format for HMM-based speech synthesis in English," HTS CMUARCTIC Demo, 2006.
33. A. Hunt and A. Black, "Unit selection in a concatenative speech synthesis system using a large speech database," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Atlanta, GA, 1996, pp. 373-376.
34. B.-J. Hsu and J. Glass, "Iterative language model estimation: Efficient data structure & algorithms," in Proc. Interspeech, 2008, vol. 8, pp. 1-4.
35. M. Astrinaki, N. D'Alessandro, L. Reboursière, A. Moinet, and T. Du-toit, "Mage 2.0: New features and its application in the development of a talking guitar," in Proc. 13th Conf. New Interfaces for Musical Expression (NIME'13), Daejon and Seoul, Korea, 2013.
36. J. Yamagishi, T. Nose, H. Zen, Z.-H. Ling, T. Toda, K. Tokuda, S. King, and S. Renals, "Robust speaker-adaptive HMM-based text-to-speech synthesis," IEEE Trans. Audio, Speech, Lang. Process., vol. 17, no. 6, pp. 1208-1230, Aug. 2009.