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Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication

机译:COSMO函授贝叶斯模型的语音感知和语音生产中耦合特质的计算机模拟

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摘要

The existence of a functional relationship between speech perception and production systems is now widely accepted, but the exact nature and role of this relationship remains quite unclear. The existence of idiosyncrasies in production and in perception sheds interesting light on the nature of the link. Indeed, a number of studies explore inter-individual variability in auditory and motor prototypes within a given language, and provide evidence for a link between both sets. In this paper, we attempt to simulate one study on coupled idiosyncrasies in the perception and production of French oral vowels, within COSMO, a Bayesian computational model of speech communication. First, we show that if the learning process in COSMO includes a communicative mechanism between a Learning Agent and a Master Agent, vowel production does display idiosyncrasies. Second, we implement within COSMO three models for speech perception that are, respectively, auditory, motor and perceptuo-motor. We show that no idiosyncrasy in perception can be obtained in the auditory model, since it is optimally tuned to the learning environment, which does not include the motor variability of the Learning Agent. On the contrary, motor and perceptuo-motor models provide perception idiosyncrasies correlated with idiosyncrasies in production. We draw conclusions about the role and importance of motor processes in speech perception, and propose a perceptuo-motor model in which auditory processing would enable optimal processing of learned sounds and motor processing would be helpful in unlearned adverse conditions.
机译:的言语感知和生产系统之间的功能关系的存在已经被广泛接受,但这种关系的确切性质和作用尚不十分清楚。在生产和认知特质的存在揭示了该联系的性质有趣的内容。事实上,许多研究探讨听觉和运动原型个体间差异给定的语言中,而这两组之间的联系提供了证据。在本文中,我们尝试模拟在感知加上特质和生产法语口语元音,内COSMO,话音通信的贝叶斯计算模型的一项研究。首先,我们表明,如果在COSMO学习过程包括学习剂和主代理之间的沟通机制,元音发音不显示的特质。其次,我们内COSMO实现三种模式的语音看法,即分别是听觉,电机和perceptuo电机。我们表明,在没有知觉特质可以在听觉模型来获得,因为它调整到最佳的学习环境,这还不包括学习代理的运动变化。相反,电机和perceptuo电机模型提供与生产相关的特质感知的特质。我们得出电机过程中言语感知的作用和重要性的结论,并提出perceptuo电机模型,其中听觉处理将使了解到的声音和电机加工的优化处理将是没有学问的不利条件有帮助。

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