Univ. Grenoble Alpes, Gipsa-lab, Grenoble, France.
CNRS, Gipsa-lab, Grenoble, France.
PLoS One. 2019 Jan 11;14(1):e0210302. doi: 10.1371/journal.pone.0210302. eCollection 2019.
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.
语音感知和产生系统之间存在功能关系,这一点现在已得到广泛认可,但这种关系的确切性质和作用仍不太清楚。产生和感知中的特殊性为这种联系的本质提供了有趣的线索。事实上,许多研究都在探索特定语言中听觉和运动原型的个体间可变性,并为两者之间的联系提供了证据。在本文中,我们试图在语音交流的贝叶斯计算模型 COSMO 中模拟对法语口腔元音感知和产生中耦合特殊性的一项研究。首先,我们表明,如果 COSMO 中的学习过程包括学习代理和主代理之间的交际机制,那么元音产生确实会显示特殊性。其次,我们在 COSMO 中实现了三种语音感知模型,分别是听觉模型、运动模型和感知运动模型。我们表明,听觉模型无法获得感知特殊性,因为它是针对学习环境进行了最优调整,而学习环境不包括学习代理的运动可变性。相反,运动模型和感知运动模型提供了与产生特殊性相关的感知特殊性。我们得出了关于运动过程在语音感知中的作用和重要性的结论,并提出了一个感知运动模型,其中听觉处理将能够对所学声音进行最佳处理,而运动处理将有助于在未学习的不利条件下进行处理。