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Abstrakty
The important element of today's speech systems is the set of recorded wavefiles annotated by a sequence of phonemes and boundary time-points. As the manual segmentation of speech is a very laborious task, there is the need for automatic segmentation algorithms. However, it was observed that common HMM-based methods are prone to systematical errors. Thus, some boundary refinement approaches were introduced. In this paper we combine two sources of information: boundary error distribution and an acoustic observation distribution, in a single dynamic programming approach.
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Czasopismo
Rocznik
Tom
Strony
127--134
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
autor
- Poznań University of Technology, Institute of Computing Science, Piotrowo 3a, 60-965 Poznań, Poland, mszymanski@cs.put.poznan.pl
Bibliografia
- [1] ADELL J., BONAFONTE A., Towards phone segmentation for concatenation speech synthesis, Proc. 5th Speech Synthesis Workshop, pp. 139.144, Pittsburgh 2004.
- [2] GROCHOLEWSKI S., CORPORA . Speech database for Polish diphones, Proc. Eurospeech'97, pp. 1735.1738, 1997.
- [3] KVALE K., Segmentation and labelling of speech, Ph.D. Thesis, Inst. for Teleteknikk, Trondheim 1993.
- [4] MATOUSEK J., TIHELKA D., PSUTKA J., Automatic segmentation for Czech concatenative speech synthesis using statistical approach with boundary-specific correction, Proc. Eurospeech 2003, pp. 301.304, Geneva 2003.
- [5] OSTENDORF M., DIGALAKIS V. V., KIMBALL O. A., From HMM's to segment models: a unified view of stochastic modeling for speech recognition, IEEE Trans. on Speech and Audio Proc., 4, 5, September 1996.
- [6] SZYMA´NSKI M., GROCHOLEWSKI S., Implementation of speech segmentation algorithm with statistical duration models [in Polish], Tuning the Model Parameters, RB.004/05, Poznań Univ. of Technology, Inst. of Computing Science 2005.
- [7] SZYMA´NSKI M., GROCHOLEWSKI S., Semi-automatic segmentation of speech: manual segmentation strategy, Problem Space Analysis, Proc. CORES'05, Wroc_aw 2005.
- [8] TAYLOR P. A., ISARD S. D., Automatic phone segmentation, Proc. Eurospeech, pp. 709.711, Genova 1991.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0003-0067