Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

Speech is one of the most opulent and instant methods to express emotional characteristics of human beings, which conveys the cognitive and semantic concepts among humans. In this study, a statistical-based method for emotional recognition of speech signals is proposed, and a learning approach is introduced, which is based on the statistical model to classify internal feelings of the utterance....

The present study is an attempt to compare the use of different forms of greeting speech acts presented in Iranian junior high school textbooks, i.e. Prospect series (I, II, III) and Four Corners series (1, 2, 3 and 4) which are quite popular in Iranian high schools and institutions. To this end, greeting forms in the language function and conversation sections of these two series were analyzed...

The present study is an attempt to compare the use of different forms of greeting speech acts presented in Iranian junior high school textbooks, i.e. Prospect series (I, II, III) and Four Corners series (1, 2, 3 and 4) which are quite popular in Iranian high schools and institutions. To this end, greeting forms in the language function and conversation sections of these two series were analyzed...

One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...

People communicate with each other by exchanging verbal and visual expressions. However, paralyzed patients with various neurological diseases such as amyotrophic lateral sclerosis and cerebral ischemia have difficulties in daily communications because they cannot control their body voluntarily. In this context, brain-computer interface (BCI) has been studied as a tool of communication for thes...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...