Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Use of Cepstrum-Based Parameters for Automatic Pathology Detection on Speech - Analysis of Performance and Theoretical Justification
Year:2008
Research Areas
  • Processing and signal analysis
Information
Abstract
The majority of speech signal analysis procedures for automatic pathology detection mostly rely on parameters extracted from time-domain processing. Moreover, calculation of these parameters often requires prior pitch period estimation; therefore, their validity heavily depends on the robustness of pitch detection. Within this paper, an alternative approach based on cepstral-domain processing is presented which has the advantage of not requiring pitch estimation, thus providing a gain in both simplicity and robustness. While the proposed scheme is similar to solutions based on Mel-frequency cepstral parameters, already present in literature, it has an easier physical interpretation while achieving similar performance standards.
International
Si
Congress
Biosignals 2008
960
Place
FUNCHAL (PORTUGAL)
Reviewers
Si
ISBN/ISSN
978-989-8111-18-0
Start Date
28/01/2008
End Date
31/01/2008
From page
85
To page
91
BIOSIGNALS 2008
Participants
  • Participante: Juan Ignacio Godino Llorente
  • Participante: Nicolás Saénz Lechón
  • Autor: Pedro Gomez Vilda (UPM)
  • Participante: Víctor Osma Ruiz
  • Autor: Ruben Fraile Muñoz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería de Circuitos y Sistemas
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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