Optimal Number of States in HMM-Based Speech Synthesis

  • Zdeněk HanzlíčekEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10415)


This paper deals with using models with a variable number of states in the HMM-based speech synthesis system. The paper also includes some implementation details on how to use these models in systems based on the HTS toolkit, which cannot handle the models with an unequal number of states directly. A bypass to enable this functionality is proposed here. A data-based method for the determination of the optimal number of states for particular models is proposed here and experimentally tested on 4 large speech corpora. The preference listening test, focused on local differences, proved the preference of the proposed system to the traditional system with 5-state models, while the size of the proposed system (the total number of states) is lower.


HMM-based speech synthesis 


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© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Applied Sciences, NTIS - New Technology for the Information SocietyUniversity of West BohemiaPlzeňCzech Republic

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