Evaluating acoustic modelling of lexical stress for Afrikaans speech synthesis
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Van Niekerk, Daniel R.
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Pattern Recognition Association of South Africa and Mechatronics International Conference
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Abstract
An explicit lexical stress feature is investigated for
statistical parametric speech synthesis in Afrikaans: Firstly, objective
measures are used to assess proposed annotation protocols
and dictionaries compared to the baseline (implicit modelling) on
the Lwazi 2 text-to-speech corpus. Secondly, the best candidates
are evaluated on additional corpora. Finally, a comparative
subjective evaluation is conducted to determine the perceptual
impact on text-to-speech synthesis. The best candidate dictionary
is associated with favourable objective results obtained on all
corpora and was preferred in the subjective test. This suggests
that it may form a basis for further refinement and work on
improved prosodic models.
Index Terms--pronunciation dictionary, under-resourced language,
syllable-stress,
Sustainable Development Goals
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Daniel R. van Niekerk, “Evaluating acoustic modeling of lexical stress for Afrikaans speech synthesis”, in Proc. Annual Symp. Pattern Recognition Association of South Africa and Mechatronics International Conference (PRASA-RobMech), pp 86-91, Bloemfontein, South Africa, 2017. [http://engineering.nwu.ac.za/multilingual-speech-technologies-must/publications]
