USE OF CEPSTRUM-BASED PARAMETERS FOR AUTOMATIC PATHOLOGY DETECTION ON SPEECH - Analysis of Performance and Theoretical Justification
Rubén Fraile, Juan Ignacio Godino-Llorente, Nicolás Sáenz-Lechón, Víctor Osma-Ruiz, Pedro Gómez‐Vilda · 2008
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.