Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Child’s Emotional Speech Classification by Human Across Two Languages. / Lyakso, Elena; Frolova, Olga; Ruban, Nersisson; Mekala, A. Mary.
Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. ed. / Alexey Karpov; Rodmonga Potapova. Springer Nature, 2021. p. 384-396 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12997 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Child’s Emotional Speech Classification by Human Across Two Languages
AU - Lyakso, Elena
AU - Frolova, Olga
AU - Ruban, Nersisson
AU - Mekala, A. Mary
N1 - Conference code: 23
PY - 2021
Y1 - 2021
N2 - We examined the features of cross-cultural recognition of four basic emotions “joy – neutral (calm state) - sadness - anger” in the spontaneous and acting speech of Indian and Russian children across Russian and Tamil languages. Cross-cultural studies point that although basic emotion recognition is universal; emotion recognition is more accurate when speakers and receivers come from the same culture than the other cultures. The results showed that Russian and Indian experts recognized correctly the emotional states of children by their speech, but with different accuracy. Both groups of experts agreed on the state of sadness via spontaneous and acting speech of Russian children and the neutral state in spontaneous speech and anger state in the acting speech of Indian children. The importance of cultural recognition are that Indian experts classify more speech samples of spontaneous and acting speech from Russian children as reflecting a state of anger, Russian experts - a state of joy and a neutral state in the acting speech of Tamil children. Differences were revealed in the acoustic characteristics of the speech of Russian and Indian children, reflecting the basic emotions. Experts, when recognizing emotions in spontaneous speech, rely on the pitch values, in acting speech - on the intensity. The novelty of our finding lies in the cross-cultural recognition of emotions from the speech of children and the comparison of two distant languages - Russian and Tamil.
AB - We examined the features of cross-cultural recognition of four basic emotions “joy – neutral (calm state) - sadness - anger” in the spontaneous and acting speech of Indian and Russian children across Russian and Tamil languages. Cross-cultural studies point that although basic emotion recognition is universal; emotion recognition is more accurate when speakers and receivers come from the same culture than the other cultures. The results showed that Russian and Indian experts recognized correctly the emotional states of children by their speech, but with different accuracy. Both groups of experts agreed on the state of sadness via spontaneous and acting speech of Russian children and the neutral state in spontaneous speech and anger state in the acting speech of Indian children. The importance of cultural recognition are that Indian experts classify more speech samples of spontaneous and acting speech from Russian children as reflecting a state of anger, Russian experts - a state of joy and a neutral state in the acting speech of Tamil children. Differences were revealed in the acoustic characteristics of the speech of Russian and Indian children, reflecting the basic emotions. Experts, when recognizing emotions in spontaneous speech, rely on the pitch values, in acting speech - on the intensity. The novelty of our finding lies in the cross-cultural recognition of emotions from the speech of children and the comparison of two distant languages - Russian and Tamil.
KW - Perceptual experiment
KW - Child spontaneous speech
KW - Child acting speech
KW - Tamil language
KW - Russian language
KW - Acoustic features of speech
UR - http://www.scopus.com/inward/record.url?scp=85116320881&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/327c4d86-c25c-3a9e-895c-72effce28f34/
U2 - 10.1007/978-3-030-87802-3_35
DO - 10.1007/978-3-030-87802-3_35
M3 - Conference contribution
AN - SCOPUS:85116320881
SN - 9783030878016
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 384
EP - 396
BT - Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings
A2 - Karpov, Alexey
A2 - Potapova, Rodmonga
PB - Springer Nature
T2 - 23rd International Conference on Speech and Computer, SPECOM 2021
Y2 - 27 September 2021 through 30 September 2021
ER -
ID: 86618313