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

机译：关于语音愉快度自动分类和强度估计系统的开发

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摘要

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.
机译：在过去的几年中，使用基于语音的交互的系统和设备的数量已大大增加。为了继续使用这些系统，界面必须可靠且令人愉快，以便提供最佳的用户体验。但是，目前只有极少数的研究试图从感知的角度评估当最终应用程序是基于语音的界面时语音的悦耳程度。在本文中，我们基于代表性特征子集的组成以及新的自动语音喜好度分类和强度估计系统，给出了语音喜好度的客观定义。我们的研究基于由欧洲葡萄牙语女声组成的数据库，但该方法可以扩展到男声或其他语言。在客观性能评估中，系统对语音愉快度分类的错误率为9.1％，对于语音愉快度强度估计的错误率为15.7％。

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