DISCRIMINATING EXPRESSIVE SPEECH STYLES BY VOICE QUALITY PARAMETERIZATION

Carlos Monzo, Francesc Alías, Ignasi Iriondo, Xavier Gonzalvo & Santiago Planet
Department of Communications and Signal Theory, Enginyeria i Arquitectura La Salle, Ramon Llull University, Barcelona, Spain

ID 1351
[full paper]

In this work, the capability of voice quality parameters to discriminate among different expressive speech styles is analyzed. To that effect, the data distribution of these parameters, directly measured from the acoustic speech signal, is used to train a Linear Discriminant Analysis that conducts an automatic classification. As a result, the most relevant voice quality patterns for discriminating expressive speech styles are obtained for a diphone and triphone Spanish speech corpus with five expressive speaking styles: neutral, happy, sad, sensual and aggressive.