Background and Objectives: There are several predictor variables for speech anxiety (SA) among students. Affective balance (AB) and social intelligence (SI) are two main factors in this field. In this study, we assess the mediating role of consequence expectation (CE) among these variables. Accordingly, this study aims to explore a model of the relationships between AB, SI, and SA mediated by C...

This paper presents preliminary results of an investigation of collectively intelligent behavior in a Native North American speech community. The research reveals several independently initiated strategies organized around the collective problem of language endangerment. Specifically, speakers are engaging in self-organizing efforts to reverse historical language simplification that resulted fr...

Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition requires a lot of intelligence and fault tolerance in the pattern recognition algorithms. Accurate vowel recognition forms the backbone of most successful speech recognition systems. A collection of techniques exists to...

the process of globalization entails the acquisition of a construct, cultural intelligence, with which efl students can function appropriately in intercultural situations. this study was, first, intended to find the relationship between cultural intelligence and the use of expressions of gratitude by iranian efl learners. second, it sought to determine whether there were any significant differe...

Recognizing human emotion from speech signals, i.e., spoken emotion recognition, is a new and interesting subject in artificial intelligence field. In this paper we present a new method of spoken emotion recognition based on radial basis function neutral networks (RBFNN). The acoustic features related to human emotion expression are extracted from speech signals and then fed into RBFNN for emot...

The work presents a contemporary perspective of the field of dysfluent speech processing. It deals with suitable approaches of computational intelligence for speech analysis. It presents computational intelligence classifiers, based on probabilistic decision theory and classifiers based on cost function optimization. This work deals with common model of automatic speech recognition and explains...

This paper sketches the outlines of a model of accenting that is inspired by the so-called`blackboard' architectures used in artiicial intelligence. This simple model, which is based on a combination of syntactic/metrical and se-mantic/pragmatic considerations, tries to explain how a conspiracy of various factors (namelyòbstacles' as well as`triggers' for accenting) determines the locations of ...

Developmental task is the most common diagnostic tool used in children with developmental disturbances. It follows according to physiology of the development of the child. Transition through the "mile stones" describes the development of the child in four areas-motor, speech, social and visuo-motor coordination. Systematic diagnostic researches allowed preparation of detailed developmental sche...

In this paper, an iterative bandwidth mismatch compensation (BMC) algorithm is proposed to alleviate the need of multiple pre-trained models for recognizing different bandwidth speech. The BMC uses the concept of the bandwidth extension as similar as in the speech enhancement approaches. However, it aims at directly improving the recognition accuracy instead of speech intelligence or quality an...