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Analysis of speaker's gender effects in voice onset time of Turkish stop consonants

机译:土耳其停止辅音发声时间中说话人的性别影响分析

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In speech processing, identification of speaker's gender has been considered as a topic of interest by many studies so far. Although various methods and approaches have been proposed to detect gender of a speaker, Voice Onset Time (VOT) values of stop consonants of a language can also contain cues about the speaker's gender. In this study, VOT values of six stop consonants (/p/, /b/, /t/, /d/, /k/, /g/) in Turkish language have been analyzed to find gender evidences by using classification algorithms like SVM, KNN, Logistic Regression etc. 10 males and 10 females speakers have uttered 48 isolated meaningful (number of combinations of all stop consonants and all vowels) Turkish syllables in this work. As a result of this study, VOT values of unvoiced stop consonants (/p/, /t/, /k/) together as one parameter have been found to be gender-related with a success rate of 90% via Ensemble algorithm. Also, stop consonant /t/ has been marked as most gender-related cue in a syllable, on the other hand /b/ has been detected as the least gender-related stop. These findings proved that acoustic VOT parameters of Turkish stop consonants, especially unvoiced stops, can be seen as gender distinctive feature for Turkish speakers.
机译:迄今为止,在语音处理中,说话人性别的识别已被许多研究视为关注的话题。尽管已经提出了各种方法和方法来检测说话者的性别,但是语言停止辅音的语音开始时间(VOT)值也可以包含有关说话者性别的提示。在这项研究中,通过使用类似的分类算法,分析了土耳其语中六个终止辅音(/ p /,/ b /,/ t /,/ d /,/ k /,/ g /)的VOT值,以找到性别证据。 SVM,KNN,逻辑回归等。这项工作中有10位男性和10位女性说出了48个孤立的有意义的(所有停止辅音和所有元音的组合数)土耳其语音节。这项研究的结果是,通过Ensemble算法,已发现清音停止辅音(/ p /,/ t /,/ k /)的VOT值作为一个参数与性别相关,成功率为90%。同样,在音节中,辅音辅音/ t /被标记为与性别相关的提示最多,而另一方面,/ b /被检测为与性别相关的最少提示。这些发现证明土耳其语停止辅音的声音VOT参数,尤其是未发声的声音,可以看作是土耳其说话者的性别特征。

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