注释,注释: The subject of the study is gender characteristics of insincere statements and behavior. The experimental material includes 100 video fragments in Russian and 100 video fragments in American English. The study of this material included perceptual-auditory and perceptual-visual types of analysis, which were conducted with the involvement of groups of test-auditors. The results of perceptual-auditory and perceptual-visual types of analysis revealed some gender differences in insincere statements and behavior. However, most of the parameter values noted by the subjects when working with the material are in the zone of average values, which makes the study of these parameters especially difficult and indicates the relevance of this problem. Processing such a data set (915,600 cells) was carried out for the first time, but it did not reveal major gender differences in the speech and behavior of communicants, which indicates the need for further study of this problem.

注释,注释: The subject of the study is gender characteristics of insincere statements and behavior. The experimental material includes 100 video fragments in Russian and 100 video fragments in American English. The study of this material included perceptual-auditory and perceptual-visual types of analysis, which were conducted with the involvement of groups of test-auditors. The results of perceptual-auditory and perceptual-visual types of analysis revealed some gender differences in insincere statements and behavior. However, most of the parameter values noted by the subjects when working with the material are in the zone of average values, which makes the study of these parameters especially difficult and indicates the relevance of this problem. Processing such a data set (915,600 cells) was carried out for the first time, but it did not reveal major gender differences in the speech and behavior of communicants, which indicates the need for further study of this problem.

注释,注释: The article provides an overview of prosodic and acoustic indicators of deception. The research was conducted on the basis of frequency spectrum analysis of 108 speech fragments which had been obtained by segmenting the 12-hour long audio recording. Although modeled deception situations are proven to give accurate results in deception detection, the experiment is not a modeled deception situation which allows greater accuracy by considering involuntary changes in the subject's voice caused by their genuine emotions such as fear of being exposed.Frequency spectrum analysis of speech fragments showed an increase in pitch frequency of the subjects speech during deception compared to their speech in the absence of psychological stress. Data on such markers of deception as response latency changes, rising tone, laughter and filled pauses were also obtained. The cross-cultural study of prosodic and acoustic indicators of deception on the basis of the Russian language is of interest nowadays because it allows to compare the obtained results both with those of foreign researchers and those gained in modeled deception detection experiments.

注释,注释: The article provides an overview of prosodic and acoustic indicators of deception. The research was conducted on the basis of frequency spectrum analysis of 108 speech fragments which had been obtained by segmenting the 12-hour long audio recording. Although modeled deception situations are proven to give accurate results in deception detection, the experiment is not a modeled deception situation which allows greater accuracy by considering involuntary changes in the subject's voice caused by their genuine emotions such as fear of being exposed.Frequency spectrum analysis of speech fragments showed an increase in pitch frequency of the subjects speech during deception compared to their speech in the absence of psychological stress. Data on such markers of deception as response latency changes, rising tone, laughter and filled pauses were also obtained. The cross-cultural study of prosodic and acoustic indicators of deception on the basis of the Russian language is of interest nowadays because it allows to compare the obtained results both with those of foreign researchers and those gained in modeled deception detection experiments.