Automatic Exploration of Corpus-Specific Properties for Expressive Text-to-Speech: A Case Study in Emphasis

6th ISCA Workshop on Speech Synthesis, SSW 2007

Volumn , Issue , 2007, Pages 34-39

  Fernandez, Raul ^a   Ramabhadran, Bhuvana ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DISCOVERY; AUTOMATICALLY GENERATED; CASE-STUDIES; DATA COLLECTION; DATA DISCOVERY; SEARCH SPACES; SPECIFIC PROPERTIES; TEXT TO SPEECH;

SPEECH SYNTHESIS;

EID: 70450172108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. J. F. Pitrelli, R. Bakis, E. M. Eide, R. Fernandez, W. Hamza, and M. A. Picheny, “The IBM expressive Text-to-Speech synthesis system for American English,” IEEE Trans. Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1099–1108, July 2006.
2. E. Eide and R. Fernandez, “Database mining for flexible concatenative Text-to-Speech,” in Proc. ICASSP, vol. 4, Honolulu, Hawai’i, April 2007, pp. 697–700.
3. M. Bulut, W. Narayanan, and A. Syrdal, “Expressive speech synthesis using a concatenative synthesizer,” in Proc. ICSLP, Denver, CO, U.S.A., 2002.
4. N. Campbell and T. Marumoto, “Automatic labelling of voice-quality in speech databases for synthesis,” in Proc. ICSLP, vol. 4, Beijing, China, October 2000, pp. 468–471.
5. E. O. Selkirk, Phonology and Syntax: The Relation Between Sound and Structure. Cambridge: MIT Press, 1984.
6. F. Tamburini, “Automatic prosodic prominence detection in speech using acoustic features: An unsupervised system,” in Proc. Eurospeech, vol. 1, Geneva, Switzerland, September 2003, pp. 129–132.
7. J. Pitrelli, “Expressive Speech Synthesis using American English ToBI: Questions and contrastive emphasis,” in Proc. IEEE ASRU: Automatic Speech Recognition and Understanding Workshop, St. Thomas, U.S. Virgin Islands, December 1-4 2003.
8. R. Fernandez, “A computational model for the automatic recognition of affect in speech,” Ph.D. dissertation, (http://affect.media.mit.edu/pdfs/04.fernandez-phd.pdf) Media Arts and Sciences. Massachussets Institute of Technology, 2004.