Estimation of the Asymmetry Parameter of the Glottal Flow Waveform Using the Electroglottographic Signal

João Cabral


Glottal activity information can be very important in several speech processing applications, such as in speech therapy, voice disorder diagnosis, voice transformation and text-to-speech synthesis. However, the use of algorithms for estimating glottal parameters from the speech signal is very limited in those applications because of problems with robustness and accuracy. For this reason, current research studies of the glottal source are usually constrained to isolated speech sounds or short segments of speech recorded in controlled conditions and methods requiring manual intervention. An alternative way to obtain more accurate and reliable glottal parameter estimates is to use other recording equipment besides the audio microphone. Electroglottography is the most popular non-invasive measurement of vocal fold motion. It has been widely used to estimate the glottal opening and closing instants, but it does not provide direct information about the other important glottal parameters. This paper proposes an automatic method for estimation of the glottal parameters from the electroglottographic signal that permits to measure an additional parameter related to the asymmetry of the glottal flow pulse. This is a very important characteristic correlated with voice quality and widely studied in voice source analysis, commonly represented by the speed quotient parameter.


 DOI: 10.21437/Interspeech.2018-2371

Cite as: Cabral, J. (2018) Estimation of the Asymmetry Parameter of the Glottal Flow Waveform Using the Electroglottographic Signal. Proc. Interspeech 2018, 2997-3001, DOI: 10.21437/Interspeech.2018-2371.


@inproceedings{Cabral2018,
  author={João Cabral},
  title={Estimation of the Asymmetry Parameter of the Glottal Flow Waveform Using the Electroglottographic Signal},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={2997--3001},
  doi={10.21437/Interspeech.2018-2371},
  url={http://dx.doi.org/10.21437/Interspeech.2018-2371}
}