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A Computational Model of Intonation for Yorùbá Text-to-Speech Synthesis: Design and Analysis

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Text, Speech and Dialogue (TSD 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3206))

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In this paper we present the design and analysis of an intonation model for text-to-speech (TTS) synthesis applications using a combination of Relational Tree (RT) and Fuzzy Logic (FL) technologies. The model is demonstrated using the Standard Yorùbá (SY) language. In the proposed intonation model, phonological information extracted from text is converted into an RT. RT is a sophisticated data structure that represents the peaks and valleys as well as the spatial structure of a waveform symbolically in the form of trees. An initial approximation to the RT, called Skeletal Tree (ST), is first generated algorithmically. The exact numerical values of the peaks and valleys on the ST is then computed using FL. Quantitative analysis of the result gives RMSE of 0.56 and 0.71 for peak and valley respectively. Mean Opinion Scores (MOS) of 9.5 and 6.8, on a scale of 1–10, was obtained for intelligibility and naturalness respectively.

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Odéjobí, O.A., Beaumont, A.J., Wong, S.H.S. (2004). A Computational Model of Intonation for Yorùbá Text-to-Speech Synthesis: Design and Analysis. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg.

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  • Print ISBN: 978-3-540-23049-6

  • Online ISBN: 978-3-540-30120-2

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