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Memorias de investigación
Capítulo de libro:
A Methodology for Monitoring Emotional Stress in Phonation
Año:2014
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Stress in phonation is mainly shown in the signature of the fundamental frequency. The proposed methodology is based on the estimation of the vocal fold biomechanics in terms of the distribution of the dynamic mass and the mechanical tension of the vocal fold structure. These parameters are derived from the reconstruction of the glottal source by inverse filtering. The vocal fold mechanical tension correlates (stress and strain), are used as the bases for tremor estimation. The correlates of tension and tremor are used to characterize the spontaneous speech of a database of 40 speakers of both genders (20 male and 20 female). Spontaneous speech consists in short interviews of 20 s of duration where the speakers have to express opinions on hot issues with which they are in agreement (pro) or in disagreement (con) following Arciuli's methodology. The emotional stress is estimated from the biomechanical correlates expressed above (tension and tremor). The null hypothesis formulated as the insensitivity of the speaker to pro and con situations has to be disregarded in view of the results for both genders. Interesting open questions are to be raised regarding the possibility of speakers consciously hiding their true opinion based on political correctness. The discussion will offer different hypotheses to further exploit the objective of detecting self-congruence in spoken messages.
Internacional
Si
DOI
10.1109/CogInfoCom.2014.7020451
Edición del Libro
Editorial del Libro
IEEE
ISBN
978-1-4799-7280-7
Serie
Título del Libro
2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)
Desde página
231
Hasta página
236
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: M. Victoria Rodellar Biarge (UPM)
  • Autor: Daniel Palacios Alonso (CTB-UPM)
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Elena Bartolome (CTB-UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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