On the development of an automatic voice pleasantness classification and intensity estimation system

Authors:
Luis Pinto-Coelho;Daniela Braga;Miguel Sales-Dias;Carmen Garcia-Mateo
Affiliations:
Polytechnic Institute of Porto, Portugal and Microsoft Language Development Center, Portugal;TTS Team, Microsoft, China;Microsoft Language Development Center, Portugal and ISCTE-Lisbon University Institute, Portugal;University of Vigo, Spain
Venue:
Computer Speech and Language
Year:
2013

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Abstract

In the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.