@conference{277,
  keywords = {Computing and Processing, Robotics and Control Systems, Signal Processing and Analysis, Stress, Acoustics, Dictionaries, Speech, Proposals, Compounds, Protocols, pronunciation dictionary, under-resourced language, syllable-stress, lexical stress, Afrikaans, speech synthesis, text-to-speech},
  author = {Daniel Van Niekerk},
  title = {Evaluating acoustic modelling of lexical stress for Afrikaans speech synthesis},
  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.},
  year = {2017},
  journal = {Pattern Recognition Association of South Africa and Mechatronics International Conference (PRASA-RobMech)},
  chapter = {86-91},
  address = {Bloemfontein, South Africa},
  isbn = {978-1-5386-2314-5, 978-1-5386-2313-8},
  doi = {10.1109/RoboMech.2017.8261128},
}