ISCA Archive VOQUAL 2003
ISCA Archive VOQUAL 2003

Principal components of glottal waveforms: towards parameterisation and manipulation of laryngeal voice quality

Parham Mokhtari, Hartmut R. Pfitzinger, Carlos Toshinori Ishi

We propose a more holistic approach to modelling of the glottal volume-velocita waveform and its derivative. Principal components analysis (PCA) is applied to single-cycle glottal waveforms measured in Laver's (1980) recorded speech data representing several phonation types. The first four principal component lend themselves to qualitative interpretations, and account for over 90% of the total variance. Decision trees generated using those components yield around 64% accuracy in classifying the 13 voice qualities analysed. This approach is capable of modelling a wide variety of voice qualities, and should therefore be useful in speech synthesis.


Cite as: Mokhtari, P., Pfitzinger, H.R., Ishi, C.T. (2003) Principal components of glottal waveforms: towards parameterisation and manipulation of laryngeal voice quality. Proc. Voice Quality: Functions, Analysis and Synthesis (VOQUAL 2003), 133-138

@inproceedings{mokhtari03_voqual,
  author={Parham Mokhtari and Hartmut R. Pfitzinger and Carlos Toshinori Ishi},
  title={{Principal components of glottal waveforms: towards parameterisation and manipulation of laryngeal voice quality}},
  year=2003,
  booktitle={Proc. Voice Quality: Functions, Analysis and Synthesis (VOQUAL 2003)},
  pages={133--138}
}