Standard

Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification. / Фролова, Ольга Владимировна; Матвеев, Антон Юрьевич; Ляксо, Елена Евгеньевна; Кузнецова, Тамара Георгиевна; Голубева, Инна Юрьевна.

26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II. ред. / Alexey Karpov; Vlado Delić. Springer Nature, 2024. стр. 85–94 (Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence); Том LNAI 15300).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Фролова, ОВ, Матвеев, АЮ, Ляксо, ЕЕ, Кузнецова, ТГ & Голубева, ИЮ 2024, Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification. в A Karpov & V Delić (ред.), 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II. Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence), Том. LNAI 15300, Springer Nature, стр. 85–94, XXVIth International Conference “Speech and Computer”, Белград, Сербия, 25/11/24. https://doi.org/10.1007/978-3-031-78014-1_7

APA

Фролова, О. В., Матвеев, А. Ю., Ляксо, Е. Е., Кузнецова, Т. Г., & Голубева, И. Ю. (2024). Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification. в A. Karpov, & V. Delić (Ред.), 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II (стр. 85–94). (Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence); Том LNAI 15300). Springer Nature. https://doi.org/10.1007/978-3-031-78014-1_7

Vancouver

Фролова ОВ, Матвеев АЮ, Ляксо ЕЕ, Кузнецова ТГ, Голубева ИЮ. Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification. в Karpov A, Delić V, Редакторы, 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II. Springer Nature. 2024. стр. 85–94. (Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)). https://doi.org/10.1007/978-3-031-78014-1_7

Author

Фролова, Ольга Владимировна ; Матвеев, Антон Юрьевич ; Ляксо, Елена Евгеньевна ; Кузнецова, Тамара Георгиевна ; Голубева, Инна Юрьевна. / Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification. 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II. Редактор / Alexey Karpov ; Vlado Delić. Springer Nature, 2024. стр. 85–94 (Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)).

BibTeX

@inproceedings{ba8f6212efb449339e217c46890c2971,
title = "Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification",
abstract = "The presented study aimed to revealing the possibility of human recognition and automatic classification of the emotional states by vocalizations of rhesus macaques. This work is a continuation of the study of emotional states manifestation in vocalizations of primates. The participants of the study were 9 unrelated rhesus macaques, aged 14 - 36 months. 10 adult people (5 specialists working with macaques and 5 listeners – physiologists with professional experience in the field of child speech) took part in the perceptual study, classified emotional states by vocalizations of macaques. The vocalizations of animals were collected in laboratory condition and annotated to emotional states: “joy-neutral state-sadness-anger-fear”. The original dataset of emotional vocalizations of rhesus macaques was created. Perceptual analysis revealed that specialists could recognize all emotional states by vocalizations of macaques, with maximal accuracy for sadness, minimal accuracy – for joy state; listeners recognized emotional states worse vs specialists. In automatic classification, we obtained the Unweighted Average Recall (UAR) value close to UAR value for recognition by specialists. Fear, joy, and sadness states were automatically classified better than anger and neutral states. The data obtained in the study of rhesus macaques{\textquoteright} vocalizations could be useful for comparison with data on human and nonhuman primates. In practice, the information about features of affective calls of macaques is important for specialists working with animals in laboratory conditions.",
keywords = "Emotions, Rhesus Macaques, Perceptual Experiment, Automatic Classification, Automatic Classification, Emotions, Perceptual Experiment, Rhesus Macaques",
author = "Фролова, {Ольга Владимировна} and Матвеев, {Антон Юрьевич} and Ляксо, {Елена Евгеньевна} and Кузнецова, {Тамара Георгиевна} and Голубева, {Инна Юрьевна}",
note = "This study is financially supported by the Russian Science Foundation (project 22–45-02007) and Initiative project of St. Petersburg State University and Pavlov Institute of Physiology, Russian Academy of Sciences (project ID: 119392638).; 26th International Conference on Speech and Computer , SPECOM 2024 ; Conference date: 25-11-2024 Through 28-11-2024",
year = "2024",
month = nov,
day = "22",
doi = "10.1007/978-3-031-78014-1_7",
language = "English",
isbn = "978-3-031-78013-4",
series = "Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)",
publisher = "Springer Nature",
pages = "85–94",
editor = "Alexey Karpov and Vlado Deli{\'c}",
booktitle = "26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II",
address = "Germany",
url = "https://specom.nw.ru/2024/, https://specom2024.ftn.uns.ac.rs, https://specom2024.ftn.uns.ac.rs/",

}

RIS

TY - GEN

T1 - Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification

AU - Фролова, Ольга Владимировна

AU - Матвеев, Антон Юрьевич

AU - Ляксо, Елена Евгеньевна

AU - Кузнецова, Тамара Георгиевна

AU - Голубева, Инна Юрьевна

N1 - Conference code: 26

PY - 2024/11/22

Y1 - 2024/11/22

N2 - The presented study aimed to revealing the possibility of human recognition and automatic classification of the emotional states by vocalizations of rhesus macaques. This work is a continuation of the study of emotional states manifestation in vocalizations of primates. The participants of the study were 9 unrelated rhesus macaques, aged 14 - 36 months. 10 adult people (5 specialists working with macaques and 5 listeners – physiologists with professional experience in the field of child speech) took part in the perceptual study, classified emotional states by vocalizations of macaques. The vocalizations of animals were collected in laboratory condition and annotated to emotional states: “joy-neutral state-sadness-anger-fear”. The original dataset of emotional vocalizations of rhesus macaques was created. Perceptual analysis revealed that specialists could recognize all emotional states by vocalizations of macaques, with maximal accuracy for sadness, minimal accuracy – for joy state; listeners recognized emotional states worse vs specialists. In automatic classification, we obtained the Unweighted Average Recall (UAR) value close to UAR value for recognition by specialists. Fear, joy, and sadness states were automatically classified better than anger and neutral states. The data obtained in the study of rhesus macaques’ vocalizations could be useful for comparison with data on human and nonhuman primates. In practice, the information about features of affective calls of macaques is important for specialists working with animals in laboratory conditions.

AB - The presented study aimed to revealing the possibility of human recognition and automatic classification of the emotional states by vocalizations of rhesus macaques. This work is a continuation of the study of emotional states manifestation in vocalizations of primates. The participants of the study were 9 unrelated rhesus macaques, aged 14 - 36 months. 10 adult people (5 specialists working with macaques and 5 listeners – physiologists with professional experience in the field of child speech) took part in the perceptual study, classified emotional states by vocalizations of macaques. The vocalizations of animals were collected in laboratory condition and annotated to emotional states: “joy-neutral state-sadness-anger-fear”. The original dataset of emotional vocalizations of rhesus macaques was created. Perceptual analysis revealed that specialists could recognize all emotional states by vocalizations of macaques, with maximal accuracy for sadness, minimal accuracy – for joy state; listeners recognized emotional states worse vs specialists. In automatic classification, we obtained the Unweighted Average Recall (UAR) value close to UAR value for recognition by specialists. Fear, joy, and sadness states were automatically classified better than anger and neutral states. The data obtained in the study of rhesus macaques’ vocalizations could be useful for comparison with data on human and nonhuman primates. In practice, the information about features of affective calls of macaques is important for specialists working with animals in laboratory conditions.

KW - Emotions

KW - Rhesus Macaques

KW - Perceptual Experiment

KW - Automatic Classification

KW - Automatic Classification

KW - Emotions

KW - Perceptual Experiment

KW - Rhesus Macaques

UR - https://www.mendeley.com/catalogue/654ec7ed-2047-3dc2-817f-8bfcb100578c/

U2 - 10.1007/978-3-031-78014-1_7

DO - 10.1007/978-3-031-78014-1_7

M3 - Conference contribution

SN - 978-3-031-78013-4

SN - 978-3-031-78014-1

T3 - Lecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)

SP - 85

EP - 94

BT - 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II

A2 - Karpov, Alexey

A2 - Delić, Vlado

PB - Springer Nature

T2 - 26th International Conference on Speech and Computer

Y2 - 25 November 2024 through 28 November 2024

ER -

ID: 128077450