Abstract
It is shown that the best ASR results are attained when a pre-processing is carried out synchronically with pitch. Specifically, an analysis step has to be equal to the current one-quasiperiod duration and current analysis intervals have to consist of an entire number of quasiperiods with total 45–60 ms duration. Quasi-periodicity and non-qusiperiodicity models and measures as well as their applications for the optimal segmentation of speech signals into one-quasiperiods are given and discussed. Then the ways to embed these pre-processing results into the recognition procedure are described.
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References
T.K. Vintsiuk. Analysis, Recognition and Understanding of Speech Signals.-Kyjiv: Naukova Dumka, 1987, pp. 264, in Russian.
T.K. Vintsiuk, L.I. Khomenok. Influence of Discretisation Effects, Analysis Interval Length and Step to Speech Signals Recognition Accuracy.-Proceedings, 15 All-Union Seminar ldAutomatic Recognition of Sound Patterns”, Tallinn, 1989, pp 81–82, in Russian.
Taras K. Vintsiuk. Optimal Joint Procedure for Current Pitch Period Discrimination and Speech Signal Partition into Quasi-Periodic and Non-Periodic Segments.-In ldText, Speech, Dialogue”, Proc. of the First Workshop on Text, Speech, Dialog-TSD’98, Brno, 1998, pp 135–140.
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© 1999 Springer-Verlag Berlin Heidelberg
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Vintsiuk, T.K., Sazhok, M.M. (1999). Speech Analysis and Recognition Synchronised by One-Quasiperiodical Segmentation. In: Matousek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds) Text, Speech and Dialogue. TSD 1999. Lecture Notes in Computer Science(), vol 1692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48239-3_32
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DOI: https://doi.org/10.1007/3-540-48239-3_32
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