%T A megakadĂĄsjelensĂŠgek ĂŠs a temporĂĄlis paramĂŠterek szerepe a borderline szemĂŠlyisĂŠgzavar felismerĂŠsĂŠben
%L publicatio34443
%V 3
%J BESZÉDTUDOMÁNY / SPEECH SCIENCE
%D 2022
%N 1
%P 188-224
%X Borderline personality disorder (BPD) is characterized by a pervasive pattern of instability of identity, emotions, and interpersonal relationships, and difficulty with emotional and impulse control. Due to the various co-occurrence patterns of symptoms
and the interactions between them, the BPD population is relatively heterogeneous,
making it difficult for clinicians to diagnose individuals. Since an individual’s state of
mind may to some extent be reflected in their speech behavior, an analysis of speech
patterns may make a useful contribution to efforts of identifying the disorder. Our
goal is to characterize spontaneous speech of BPD individuals based on the patterns
of disfluencies and temporal parameters with the forced alignment method of automatic speech recognition, and to differentiate BPD individuals (N = 27) from healthy
controls (N = 27) with a logistic regression statistical model. Our results have shown,
that spontaneous speech of BPD individuals can be characterized by the frequency of
silent pauses, filled pauses, and disturbances of grammatical encoding (grammatical
errors and blendings), and the two groups can be differentiated by these features with
0.834 AUC.
%I szte
%R MTMT:33611994 10.15775/Besztud.2022.188-224
%A  FelletĂĄr Fanni
%A  Gosztolya GĂĄbor
%A  Hoffmann IldikĂł
%A  Babarczy Anna