Standard
An Electroglottographic Method for Assessing the Emotional State of the Speaker. / Grigorev, Aleksey; Kurazhova, Anna ; Kleshnev, Egor ; Nikolaev, Aleksandr ; Frolova, Olga ; Lyakso, Elena .
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. ред. / S.R. Mahadeva Prasanna; Alexey Karpov; K. Samudravijaya; Shyam S. Agrawal. 2022. стр. 214-225 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 13721 LNAI).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Grigorev, A, Kurazhova, A, Kleshnev, E, Nikolaev, A, Frolova, O & Lyakso, E 2022,
An Electroglottographic Method for Assessing the Emotional State of the Speaker. в SRM Prasanna, A Karpov, K Samudravijaya & SS Agrawal (ред.),
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 13721 LNAI, стр. 214-225, 24th International Conference on Speech and Computer SPECOM 2022, Gurugram, Индия,
14/11/22.
https://doi.org/10.1007/978-3-031-20980-2_19
APA
Grigorev, A., Kurazhova, A., Kleshnev, E., Nikolaev, A., Frolova, O., & Lyakso, E. (2022).
An Electroglottographic Method for Assessing the Emotional State of the Speaker. в S. R. M. Prasanna, A. Karpov, K. Samudravijaya, & S. S. Agrawal (Ред.),
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings (стр. 214-225). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 13721 LNAI).
https://doi.org/10.1007/978-3-031-20980-2_19
Vancouver
Grigorev A, Kurazhova A, Kleshnev E, Nikolaev A, Frolova O, Lyakso E.
An Electroglottographic Method for Assessing the Emotional State of the Speaker. в Prasanna SRM, Karpov A, Samudravijaya K, Agrawal SS, Редакторы, Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. 2022. стр. 214-225. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-031-20980-2_19
Author
Grigorev, Aleksey ; Kurazhova, Anna ; Kleshnev, Egor ; Nikolaev, Aleksandr ; Frolova, Olga ; Lyakso, Elena . /
An Electroglottographic Method for Assessing the Emotional State of the Speaker. Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. Редактор / S.R. Mahadeva Prasanna ; Alexey Karpov ; K. Samudravijaya ; Shyam S. Agrawal. 2022. стр. 214-225 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{0730330d32e0434f98fbd24f8431404f,
title = "An Electroglottographic Method for Assessing the Emotional State of the Speaker",
abstract = "The purpose of the study is to determine the shape of the electroglottographic (EGG) wave, the values of the closed quotient (CQ) coefficient and the pitch values (F0) of speech uttered in emotional states of joy, sadness, fear, anger and in a neutral (calm) state. Two methods were used: EGG and spectrographic analysis. The object of the study was electroglottograms and speech (F0 and duration of phrases) of 12 healthy speakers (6 men and 6 women, age 25.3 ± 4.5 and 24.5 ± 4.8 years, respectively). It was found that the values of the CQ coefficient in men are maximal in the neutral (calm) state – 0.98; in women – in a state of sadness – 0.97. The minimal values of the CQ coefficient for men are shown for the state of fear – 0.81, for women – for the state of joy – 0.69. In men, the states of anger and joy are characterized by significantly higher pitch values than the neutral (calm) state; in women, the pitch values are significantly higher in the states of fear, anger, and joy vs the state of sadness and the neutral state. Significant differences in the pitch values between the states of fear, anger, joy; a neutral state and a state of sadness were not revealed.",
keywords = "Electroglottography (EGG), Emotions, Pitch frequency",
author = "Aleksey Grigorev and Anna Kurazhova and Egor Kleshnev and Aleksandr Nikolaev and Olga Frolova and Elena Lyakso",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; null ; Conference date: 14-11-2022 Through 16-11-2022",
year = "2022",
doi = "10.1007/978-3-031-20980-2_19",
language = "English",
isbn = "978-3-031-20979-6",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "214--225",
editor = "Prasanna, {S.R. Mahadeva} and Alexey Karpov and K. Samudravijaya and Agrawal, {Shyam S.}",
booktitle = "Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings",
url = "https://www.specom.co.in",
}
RIS
TY - GEN
T1 - An Electroglottographic Method for Assessing the Emotional State of the Speaker
AU - Grigorev, Aleksey
AU - Kurazhova, Anna
AU - Kleshnev, Egor
AU - Nikolaev, Aleksandr
AU - Frolova, Olga
AU - Lyakso, Elena
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The purpose of the study is to determine the shape of the electroglottographic (EGG) wave, the values of the closed quotient (CQ) coefficient and the pitch values (F0) of speech uttered in emotional states of joy, sadness, fear, anger and in a neutral (calm) state. Two methods were used: EGG and spectrographic analysis. The object of the study was electroglottograms and speech (F0 and duration of phrases) of 12 healthy speakers (6 men and 6 women, age 25.3 ± 4.5 and 24.5 ± 4.8 years, respectively). It was found that the values of the CQ coefficient in men are maximal in the neutral (calm) state – 0.98; in women – in a state of sadness – 0.97. The minimal values of the CQ coefficient for men are shown for the state of fear – 0.81, for women – for the state of joy – 0.69. In men, the states of anger and joy are characterized by significantly higher pitch values than the neutral (calm) state; in women, the pitch values are significantly higher in the states of fear, anger, and joy vs the state of sadness and the neutral state. Significant differences in the pitch values between the states of fear, anger, joy; a neutral state and a state of sadness were not revealed.
AB - The purpose of the study is to determine the shape of the electroglottographic (EGG) wave, the values of the closed quotient (CQ) coefficient and the pitch values (F0) of speech uttered in emotional states of joy, sadness, fear, anger and in a neutral (calm) state. Two methods were used: EGG and spectrographic analysis. The object of the study was electroglottograms and speech (F0 and duration of phrases) of 12 healthy speakers (6 men and 6 women, age 25.3 ± 4.5 and 24.5 ± 4.8 years, respectively). It was found that the values of the CQ coefficient in men are maximal in the neutral (calm) state – 0.98; in women – in a state of sadness – 0.97. The minimal values of the CQ coefficient for men are shown for the state of fear – 0.81, for women – for the state of joy – 0.69. In men, the states of anger and joy are characterized by significantly higher pitch values than the neutral (calm) state; in women, the pitch values are significantly higher in the states of fear, anger, and joy vs the state of sadness and the neutral state. Significant differences in the pitch values between the states of fear, anger, joy; a neutral state and a state of sadness were not revealed.
KW - Electroglottography (EGG)
KW - Emotions
KW - Pitch frequency
UR - https://www.mendeley.com/catalogue/d9736880-1339-3cd7-b674-a959a3714740/
UR - http://www.scopus.com/inward/record.url?scp=85142730869&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-20980-2_19
DO - 10.1007/978-3-031-20980-2_19
M3 - Conference contribution
SN - 978-3-031-20979-6
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 214
EP - 225
BT - Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings
A2 - Prasanna, S.R. Mahadeva
A2 - Karpov, Alexey
A2 - Samudravijaya, K.
A2 - Agrawal, Shyam S.
Y2 - 14 November 2022 through 16 November 2022
ER -
