A novel technique is introduced for verb and inflection detection in Persian texts. This recognition can be useful for preprocessing phase in natural language processing (NLP) and text mining like partof-speech (POS) tagging and sentence boundary detection (SBD) in Persian texts. Our technique employs structural information of Persian verb for the first phase of this detection and then uses the...

speech emotion can add more information to speech in comparison to available textual information. however, it will also lead to some problems in speech recognition process. in a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech par...

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...

The current study aimed to determine lexical effects on spoken word recognition in Persian-speaking preschool-aged children with normal hearing. research, as a cross-sectional study, was administered sixty-two 4-to-6-year-old who were recruited using convenient sampling from preschool center Shiraz city, Iran. version of the Persian Lexical Neighborhood Tests (PLNTs-PV) used, including four sub...

In this paper, we investigate the problem of Ezafe recognition in Persian language. Ezafe is an unstressed vowel that is usually not written, but is intelligently recognized and pronounced by human. Ezafe marker can be placed into noun phrases, adjective phrases and some prepositional phrases linking the head and modifiers. Ezafe recognition in Persian is indeed a homograph disambiguation probl...

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

this paper introduces a novel approach to improve performance of speech recognition systems using a combination of features obtained from speech reconstructed phase space (rps) and frequency domain analysis. by choosing an appropriate value for the dimension, reconstructed phase space is assured to be topologically equivalent to the dynamics of the speech production system, and could therefore ...

in this paper, the efficiency of persian speech phonemes from the point of view of efficiency in speaker recognition has been studied, and then with due attention to efficiencies, the ranking of phonemes has been done. for estimating the efficiencies of phonemes, we have introduced one criterion that has been defined in the form of phonemes “inter speaker distance” to “intra speaker distance” r...