ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

Using phonetic feature extraction to determine optimal speech regions for maximising the effectiveness of glottal source analysis

John Kane, Irena Yanushevskaya, John Dalton, Christer Gobl, Ailbhe Ní Chasaide

Parameterisation of the glottal source has become increasingly useful for speech technology. For many applications it may be desirable to restrict the glottal source feature data to only speech regions where it can be reliably extracted. In this paper we exploit the previously proposed set of binary phonetic feature extractors to help determine optimal regions for glottal source analysis. Besides validation of the phonetic feature extractors, we also quantitatively assess their usefulness for improving voice quality classification and find highly significant reductions in error rates in particular when nasals and fricative regions are excluded.


doi: 10.21437/Interspeech.2013-7

Cite as: Kane, J., Yanushevskaya, I., Dalton, J., Gobl, C., Ní Chasaide, A. (2013) Using phonetic feature extraction to determine optimal speech regions for maximising the effectiveness of glottal source analysis. Proc. Interspeech 2013, 29-33, doi: 10.21437/Interspeech.2013-7

@inproceedings{kane13_interspeech,
  author={John Kane and Irena Yanushevskaya and John Dalton and Christer Gobl and Ailbhe {Ní Chasaide}},
  title={{Using phonetic feature extraction to determine optimal speech regions for maximising the effectiveness of glottal source analysis}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={29--33},
  doi={10.21437/Interspeech.2013-7}
}