Thesis Type: Postgraduate
Institution Of The Thesis: Gazi University, Sağlık Bilimleri Enstitüsü, ODYOLOJİ KONUŞMA VE SES BOZUKLUKLARI PROGRAMI, Turkey
Approval Date: 2019
Thesis Language: Turkish
Student: TUGAY RİFAT DUYAR
Supervisor: İsmet Bayramoğlu
Abstract:
Speech sounds have an essential role in audiology as sound signals in the evaluation of
hearing. They have many functions in diagnosing and determining the type and degree of
hearing loss, and then assessing the efficiency of hearing aids or cochlear implants and
evaluating hearing performance in noise. Each language has both suprasegmental and
segmental characteristic features related to its own and the language family it belongs. The
studies so far, in general, have focused on the segmental characteristic features. This should
be taken into account by all scientific fields in which the language on the sense of the
suprasegmental structure has an impact. The most comprehensive suprasegmental unit is
stress in the meaning of affecting the variables of speech, such as intensity, duration, and
frequency. Determination of the acoustic differences in stress in monosyllabic words is
important in many fields, especially in audiology tests using speech sounds, as well as
linguistics and sound engineering. Therefore, in this study, using consonant-vowelconsonant
(CVC) format, voices of 50 male subjects were recorded. Each word contained
the same phonemes and also has a meaning in the reversed order. The subjects, with normal
hearing, voice and speech functions, were aged between 18-65 and spoke Contemporary
Turkey Turkish. As a result of the analysis and statistics, it was found that the intensity,
duration, and frequency changes occurred in the single syllable words in CVC format with
the effect of stress according to the position of the consonants (whether initial or final). Our
results show that the consonant phonemes of single-syllable words in the CVC format, which
are most commonly used in speech discrimination tests, cause changes that affect the
outcome of the tests.
Key Words : Turkish consonants, voice analysis, word stress, speech audiometry