The analysis of the articulatory movements allows investigating the kinematic characteristics of some speech disorders. However, the methodologies most used until now, as electromagnetic articulography and optoelectronic systems, are expensive and intrusive which limit their use to specialized laboratories. In this work, we use a completely markerless and low-cost technique to study lip movements during a syllable repetition task. By means of a Kinect-like and an existing face tracking algorithm, we are able to track the movements of the lower lip, testing the performances against a reference method (marker-based optoelectronic system). Good results were obtained in terms of RMSE for the tracking of the lower lip during the repetitions. Some kinematic measures, as opening and closing velocities and accelerations, were also computed. Despite the limitations in terms of image resolution, these results are very promising in the optic of developing a new markerless system for studying speech articulation.

Evaluating a markerless method for studying articulatory movements: Application to a syllable repetition task

Orlandi S.;
2015

Abstract

The analysis of the articulatory movements allows investigating the kinematic characteristics of some speech disorders. However, the methodologies most used until now, as electromagnetic articulography and optoelectronic systems, are expensive and intrusive which limit their use to specialized laboratories. In this work, we use a completely markerless and low-cost technique to study lip movements during a syllable repetition task. By means of a Kinect-like and an existing face tracking algorithm, we are able to track the movements of the lower lip, testing the performances against a reference method (marker-based optoelectronic system). Good results were obtained in terms of RMSE for the tracking of the lower lip during the repetitions. Some kinematic measures, as opening and closing velocities and accelerations, were also computed. Despite the limitations in terms of image resolution, these results are very promising in the optic of developing a new markerless system for studying speech articulation.
2015
Proceedings and Report - 9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015
99
102
Bandini A.; Ouni S.; Orlandi S.; Manfredi C.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/875359
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact