Research output: Contribution to journal › Article › peer-review
Voice Features as the Diagnostic Marker of Autism. / Lyakso, Elena ; Frolova, Olga ; Matveev , Yuri .
In: International Journal of Psychological and Behavioral Sciences , Vol. 16, No. 7, 2022, p. 377-382.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Voice Features as the Diagnostic Marker of Autism
AU - Lyakso, Elena
AU - Frolova, Olga
AU - Matveev , Yuri
PY - 2022
Y1 - 2022
N2 - The aim of the study is to determine the acoustic features of voice and speech of children with autism spectrum disorders (ASD) as a possible additional diagnostic criterion. The participants in the study were 95 children with ASD aged 5-16 years, 150 typically development (TD) children, and 103 adults – listening to children’s speech samples. Three types of experimental methods for speech analysis were performed: spectrographic, perceptual by listeners, and automatic recognition. In the speech of children with ASD, the pitch values, pitch range, values of frequency and intensity of the third formant (emotional) leading to the “atypical” spectrogram of vowels are higher than corresponding parameters in the speech of TD children. High values of vowel articulation index (VAI) are specific for ASD children’s speech signals. These acoustic features can be considered as diagnostic marker of autism. The ability of humans and automatic recognition of the psychoneurological state of children via their speech is determined.
AB - The aim of the study is to determine the acoustic features of voice and speech of children with autism spectrum disorders (ASD) as a possible additional diagnostic criterion. The participants in the study were 95 children with ASD aged 5-16 years, 150 typically development (TD) children, and 103 adults – listening to children’s speech samples. Three types of experimental methods for speech analysis were performed: spectrographic, perceptual by listeners, and automatic recognition. In the speech of children with ASD, the pitch values, pitch range, values of frequency and intensity of the third formant (emotional) leading to the “atypical” spectrogram of vowels are higher than corresponding parameters in the speech of TD children. High values of vowel articulation index (VAI) are specific for ASD children’s speech signals. These acoustic features can be considered as diagnostic marker of autism. The ability of humans and automatic recognition of the psychoneurological state of children via their speech is determined.
KW - autism spectrum disorders
KW - biomarker of autism
KW - child speech
KW - voice features
UR - https://publications.waset.org/10012604/voice-features-as-the-diagnostic-marker-of-autism
M3 - Article
VL - 16
SP - 377
EP - 382
JO - World Academy of Science, Engineering and Technology
JF - World Academy of Science, Engineering and Technology
SN - 1307-6892
IS - 7
ER -
ID: 100863302