جستجوی مقالات مرتبط با کلیدواژه "همبسته های آکوستیک" در نشریات گروه "ادبیات و زبان ها"

Scientific study of speech rhythm for more than eight decades proves that it is not only an important part of music and poetry, but has become a challenging subject in all branches of linguistics. Moreover, acoustic study of speech rhythm has provided practical results in various topics, including speaker identification. On the other hand, some studies indicate that speech rhythm varies greatly between languages, dialects and speakers. They concluded that the between-speaker variations in speech rhythm depends on the linguistic discriminations in the sentences. In this study, in addition to examining Qashqai speech rhythm, the effect of each sentence on the rhythmic features of this linguistic dialect was investigated. To this end, the acoustic durational rhythmic correlations of Qashqai in a reading text were examined by calculating different measures of phonetic intervals including segmental intervals, vowel and consonant intervals, vocalic and intervocalic intervals, voiced and unvoiced intervals, syllable intervals, and syllable peaks intervals. Furthermore, in order to study the effect of each sentence on Qashqai rhythmic features, between-sentence speech variability was considered. The results showed that Qashqai rhythm was placed in the middle the rhythm continuum of languages close to the syllable-time languages; however, in comparison to Persian language it was closer to the stress-time languages. The results of durational rhythmic measures at different phonetic intervals demonstrated that the Syllabic normalize Pairwise Variability Index (nPVI-Syl), the standard deviation of Variation Coefficient in consonant intervals (VarcoC) and the Syllable rate (rateSyl) were respectively the robust measures in identifying between-sentence variabilities in Qashqai speech rhythm.

The durational variability of phonetic intervals is considered as one of the properties of speech rhythm. These intervals include segmental, vowel, consonantal, vocalic, intervocalic, voiced, unvoiced, syllable, and syllable peak intervals. The durational variability measure for some of these intervals, such as vowel, consonantal, vocalic, intervocalic intervals, determines the classification of languages based on their rhythm. Besides, in some cases, the speaker identification is only possible through the person's voice. The segmental and suprasegmental properties of a language can be used to identify the speaker. In this study, the acoustic correlations of Persian speech rhythm in a reading text are calculated by various durational measures. Also, the between-speaker rhythmic variability is considered to find the best rhythmic measures for Persian speaker identification. The results confirm that Persian is near to the syllable-based languages. Moreover, the results from segmental and supra-segmental consideration demonstrate significant between-speaker variability in Persian. Among phonetic intervals, nPVI-VC and V% (percentage of vocalic intervals) best discriminate between-speaker variability in Persian.