NDLI: Optimal state duration assignment in hidden Markov model-based text-to-speech synthesis system

Content Provider	IET Digital Library
Author	Khan, Najeeb Ullah Lee, Jung Chul
Abstract	In state-of-the-art text-to-speech (TTS) systems the state durations for each phoneme are generated so as to maximise the state sequence probability given the constraint that the sum of all state durations should be equal to the phoneme duration. Such maximisation sometimes results in negative state durations when the specified phoneme duration is less than the sum of the means of all the states of the phoneme. Such discrepancy implicitly results in the violation of the equality constraint. This has implications for speech research problems, in which each phoneme duration is specified. One such problem is the use of the TTS synthesis system for singing voice synthesis research. An algorithm for state duration assignment is derived so as to maximise the probability of the state sequence with the constraints that the sum of state durations should be equal to the total duration of the phoneme and all the state durations must be greater than or equal to 1. Experimental results show that the proposed algorithm always produces state durations greater than or equal to 1 while satisfying the equality constraint.
Starting Page	941
Ending Page	943
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 12, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.0539
Journal	Electronics Letters
Publisher Date	2015-05-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Equality Constraint Hidden Markov Model HMM-based Text-to-speech Synthesis System Markov Processes Optimal State Duration Assignment Phoneme Duration Probability Singing Voice Synthesis Speech Processing Technique Speech Recognition And Synthesis Speech Synthesis State Sequence Probability TTS Synthesis System
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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