context-dependent modeling is a well-known approach to increase modeling accuracy in continuous speech recognition. the most common way to implement this approach is via triphone modeling. nevertheless, the large number of such models results in several problems in model training, whilst the robust training of such models is often hardly obtained. one approach to solve this problem is via param...

This study investigated the effects of English as foreign language (EFL) proficiency on what the authors of this study called pragmalinguistic and sociopragmatic recognition of EFL learners. To elicit the data, the study used two types of pragmatic measures: a pragmalinguistic recognition (PLR) test and a sociopragmatic recognition (SPR) test. Both tests were developed by the researchers of thi...

This study investigated the effects of English as foreign language (EFL) proficiency on what the authors of this study called pragmalinguistic and sociopragmatic recognition of EFL learners. To elicit the data, the study used two types of pragmatic measures: a pragmalinguistic recognition (PLR) test and a sociopragmatic recognition (SPR) test. Both tests were developed by the researchers of thi...

This paper reports on a behavioral study that explores the role of culture and gender in the recognition of emotional speech in an under investigated cultural context (a collectivist society: i.e., Iran). Participants were asked to recognize the emotional prosody of a set of validated emotional vocal portrayals (including the five basic emotions). Findings of the experiment were then comp...

Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...