Abstract
The important element connected with today’s speech recognition/ synthesis systems is the speech database — the set of fully annotated wavefiles. Since the manual segmentation of speech is a very time-consuming task, the automatic segmentation algorithms are needed. However, the manual segmentation still outperforms the automatic one and at the same time the quality of resulting synthetic voice highly depends on the accuracy of the phonetic segmentation. In this paper we concentrate on a semi-automatic approach, in which a human expert, unlike in the common approach, manually allocates the selected boundaries prior to the automatic segmentation of the rest of the corpus. In the paper we quest for the appropriate strategy for an expert. We check if locating some boundary classes influence the rest of the annotations. It is done for two difierent quality measures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Grocholewski S. (1997), CORPORA — Speech Database for Polish Diphones, Proc. Eurospeech’97, pp. 1735–1738
Kvale K. (1993), Segmentation and Labelling of Speech, Ph.D. Thesis, Institutt for Teleteknikk, Trondheim
Matousek J., Tihelka D., Psutka J. (2003), Automatic Segmentation for Czech Concatenative Speech Synthesis Using Statistical Approach with Boundary-Specific Correction, Proc. Eurospeech 2003, pp. 301–304, Geneva
Ostendorf M., Digalakis V.V., Kimball O.A. (1996), From HMM’s to Segment Models: A Unified View of Stochastic Modeling for Speech Recognition, IEEE Trans. on Speech and Audio Proc., Vol. 4, No. 5, September 1996
Steuer R.E. (1986), Multiple Criteria Optimization Ű Theory, Computation and Application, Wiley, New York
Szymañski M., Grocholewski S. (2003), Automatic Speech Segmentation Based on Transcription, RB-023/03, Poznan Univ. of Tech., Inst. of Computing Sc. (in Polish)
Szymañski M., Grocholewski S. (2005), Implementation of Speech Segmentation Algorithm with Statistical Duration Models. Tuning the Model Parameters, RB-004/05, Poznan Univ. of Technology, Inst. of Computing Science (in Polish)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Szymanski, M., Grocholewski, S. (2005). Semi-Automatic Segmentation of Speech: Manual Segmentation Strategy. Problem Space Analysis. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_88
Download citation
DOI: https://doi.org/10.1007/3-540-32390-2_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
eBook Packages: EngineeringEngineering (R0)