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Results: 342
Number of items: 342
  • Open Access
    Jansen, R., van Hessen, A. J., & Pols, L. C. W. (1998). Pre-processing input text: improving pronunciation for the fluent Dutch text-to-speech synthesizer. In Institute of Phonetic Sciences proceedings 22 (pp. 115-124). Institute of Phonetic Sciences, University of Amsterdam.
  • Open Access
    Streefkerk, B. M., Pols, L. C. W., & ten Bosch, L. F. M. (1998). Automatic detection of prominence (as defined by listeners' judgements) in read aloud Dutch sentences. In 5th International Conference on Spoken Language Processing ICSLP'98, Sydney, Australia: proceedings. Vol. 3 (pp. 683-686)
  • Open Access
    Boersma, P. (1998). Functional Phonology: Formalizing the interactions between articulatory and perceptual drives. [Thesis, fully internal, Universiteit van Amsterdam]. Holland Academic Graphics/IFOTT.
  • Wu, S., & Pols, L. C. W. (1997). A new measure for objective speech quality evaluation. Acta scientiarium naturalium Universitatis Pekinensis, 33(5), 627-632.
  • Pols, L. C. W. (1997). Psycho-acoustics and speech perception. In NATO ASI Computational models of speech pattern processing. Vol. 1 (pp. 1-13).
  • Pols, L. C. W. (1997). Speech synthesis development and assessment. In A. Ferencz (Ed.), Proceedings SPECOM '97. Second International Workshop "Speech and Computer". (pp. 19-23). Editura Promedia Plus.
  • Pols, L. C. W. (1997). Flexible human speech recognition. In B.-H. Juang, S. Furui, & W. Chou (Eds.), Proceedings of the 1997 IEEE Workshop on "Automatic Speech Recognition and Understanding, ASRU '97" (pp. 273-283). Santa Barnara, CA.
  • Pols, L. C. W. (1997). A structured way of looking at the performance of text-to-speech systems. In J. P. H. van Santen (Ed.), Progress in speech synthesis (pp. 519-527). Springer.
  • Pols, L. C. W. (1997). Incorporating knowledge on segmental duration in HMM-based continuous speech recognition. In Studies in Language and Language Use 29 IFOTT.
  • Wang, X. (1997). Incorporating Knowledge on Segmental Duration in 'HMM'-based Continuous Speech Recognition. [Thesis, fully internal, Universiteit van Amsterdam]. IFOTT.
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