The prosodizer - Automatic prosodic annotations of speech synthesis databases

Proceedings of the International Conference on Speech Prosody

Volumn , Issue , 2006, Pages

  Braunschweiler, Norbert ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS;

ACOUSTIC FEATURES; PRELIMINARY PERFORMANCE RESULTS; SYLLABLE BOUNDARIES; UNIT SELECTION;

SPEECH SYNTHESIS;

EID: 85089854433     PISSN: 23332042     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Wightman, C. W.; Ostendorf, M., 1994. Automatic Labeling of Prosodic Patterns. IEEE Transactions on Speech and Audio Processing. 2 (4), 469-481.
2. Ostendorf, M.; Ross, K., 1997. A Multi-Level Model for Recognition of Intonation Labels. In Computing Prosody, Y. Sagisaka, N. Campbell and N. Higuchi (Eds.), 291-308, New York: Springer, 291-308.
3. Chen, K.; Hasegawa-Johnson, M.; Cohen, A., 2004. An Automatic Prosody Labeling System Using ANN-Based Syntactic-Prosodic Model and GMM-Based Acoustic-Prosodic Model. ICASSP 2004, Montreal, Canada, 509-512.
4. Braunschweiler, N. 2003. ProsAlign-The Automatic Prosodic Aligner. ICPhS 2003, Barcelona, Spain, 3093-3096.
5. Braunschweiler, N. 2005. Automatic Detection of Prosodic Cues. PhD thesis. www. ub. uni-konstanz-. de/kops/volltexte/2005/1500/pdf/ProsAlign4. 0. pdf, University of Konstanz, Germany.
6. Beckman, M. E.; Elam, G. 1997. Guidelines for ToBI Labelling, version 3. 0, Ohio State University Research Foundation.
7. Grice, M.; Baumann, S.; Benzmüller, R. 2005. German Intonation in Autosegmental-metrical Phonology. In Jun, Sun-Ah., Prosodic Typology: The Phonology of Intonation and Phrasing. Oxford: OUP, 55-83.
8. Wightman, C. W.; Ostendorf, M.; Shattuck-Hufnagel, S. 1992. Segmental Durations in the Vicinity of Prosodic Phrase Boundaries. JASA. 91 (3), 1707-1717.
9. Wightman, C. W.; Syrdal, A. K.; Stemmer, G.; Conkie, A.; Beutnagel, M. 2000. Perceptually based Automatic Prosody Labeling and Prosodically Enriched Unit Selection Improve Concatenative Text-to-Speech Synthesis. ICSLP, Bejing, China, vol. 2, 71-74.