Abstract
A new HMM-based speech synthesis system for Slovenian language is presented. The quality of synthesized speech has been assessed by subjective and objective tests. The results show that the new system outperforms our previously developed diphone-based waveform concatenation synthesizer in terms of naturalness and general impression.
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Campbell, N., Black, A.: Prosody and the Selection of Source Units for Concatenative Synthesis. In: van Santen, J., Sproat, R., Olive, J., Hirschberg, J. (eds.) Progress in Speech Synthesis, pp. 279–282. Springer, Heidelberg (1996)
Dobrišek, S.: Analysis and Recognition of Phones in Speech Signal. Ph.D. Thesis (in Slovene), Faculty of Electrical Engineering, University of Ljubljana (2001)
Fukada, T., Tokuda, K., Kobayashi, T., Imai, S.: An Adaptive Algorithm for Mel-Cepstral Analysis of Speech. Proc. of ICASSP 1, 137–140 (1992)
Gros, J.: A two-level duration model for the Slovenian speech. Electrotechnical Review 66(2), 92–97 (1999)
Gros, J., Mihelič, F., Pavešić, N.: Slovene interactive text-to-speech evaluation site – SITES. In: Proc. of TSD, Plzen, Czech Republic, pp. 223–228 (1999)
Gros, J., Pavešić, N., Mihelič, F.: Text-to-speech synthesis: A complete system for the Slovenian language. CIT 5(1), 11–19 (1997)
Mihelič, F., Gros, J., Dobrišek, S., Žibert, J., Pavešić, N.: Spoken Language Resources at LUKS of the University of Ljubljana. International Journal of Speech Technology 6, 221–232 (2003)
Ostendorf, M., Bulyko, I.: The Impact of Speech Recognition on Speech Synthesis. In: Proc. of the IEEE Workshop on Speech Synthesis (2002)
Rabiner, L., Huang, B.-H.: Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs (1993)
Talkin, D.: A Robust Algorithm for Pitch Tracking. In: Kleijn, W.B., Paliwal, K.K. (eds.) Speech Coding and Synthesis, pp. 495–518. Elsevier Science, Amsterdam (1995)
Tokuda, K., Kobayashi, T., Imai, S.: Speech parameter generation from HMM using dynamic features. Proc. of ICASSP 1, 660–663 (1995)
Tokuda, K., Masuko, T., Miyazaki, N., Kobayashi, T.: Multi-Space Probability Distribution HMM. IEICE Transactions on Information and Systems E85-D(3), 455–464 (2002)
Tokuda, K., Zen, H.: An HMM-Based Speech Synthesis System Applied to English. In: Proc. IEEE Workshop on Speech Synthesis, USA (2002)
Tokuda, K., Yoshimura, T., Masuko, T., Kobayashi, T., Kitamura, T.: Speech Parameter Generation Algorithms for HMM-based Speech Synthesis. Proc. ICASSP 3, 1315–1318 (2000)
Yoshimura, T., Tokuda, K., Masuko, T., Kobayashi, T., Kitamura, T.: Duration Modeling for HMM based Speech Synthesis. Proc. ICSLP 2, 29–32 (1998)
Zemljak, M., Kačič, Z., Dobrišek, S., Gros, J., Weiss, P.: Computer-based Symbols for Slovene Speech. Journal for Linguistics and Literary Studies 2, 159–294 (2002)
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Vesnicer, B., Mihelič, F. (2004). Evaluation of the Slovenian HMM-Based Speech Synthesis System. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_65
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DOI: https://doi.org/10.1007/978-3-540-30120-2_65
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