Standard
Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels. / Kholiavin, Pavel ; Menshikova, Alla ; Kachkovskaia, Tatiana ; Kocharov, Daniil .
Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings. ed. / Kamil Ekštein; František Pártl; Miloslav Konopík. Springer Nature, 2021. p. 550-557 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12848 LNAI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Kholiavin, P, Menshikova, A
, Kachkovskaia, T & Kocharov, D 2021,
Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels. in K Ekštein, F Pártl & M Konopík (eds),
Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12848 LNAI, Springer Nature, pp. 550-557, Text, Speech, and Dialogue, Olomouc, Czech Republic,
6/09/21.
https://doi.org/10.1007/978-3-030-83527-9_47
APA
Kholiavin, P., Menshikova, A.
, Kachkovskaia, T., & Kocharov, D. (2021).
Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels. In K. Ekštein, F. Pártl, & M. Konopík (Eds.),
Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings (pp. 550-557). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12848 LNAI). Springer Nature.
https://doi.org/10.1007/978-3-030-83527-9_47
Vancouver
Kholiavin P, Menshikova A
, Kachkovskaia T, Kocharov D.
Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels. In Ekštein K, Pártl F, Konopík M, editors, Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings. Springer Nature. 2021. p. 550-557. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-83527-9_47
Author
Kholiavin, Pavel ; Menshikova, Alla
; Kachkovskaia, Tatiana ; Kocharov, Daniil . /
Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels. Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings. editor / Kamil Ekštein ; František Pártl ; Miloslav Konopík. Springer Nature, 2021. pp. 550-557 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{ebcd16aaeeb54dd1bae45acdd018c994,
title = "Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels",
abstract = "The present study is devoted to measuring speech entrainment between interlocutors of varying social distance based on their vowels{\textquoteright} characteristics. 5 degrees of social distance were taken into consideration: siblings, friends, strangers of same and opposite gender, and strangers of significantly different age and social status. Speaker-dependent acoustic models of cardinal Russian vowels /i/, /a/, and /u/ were constructed and compared. We hypothesized that entrainment would be the strongest between siblings and decrease with increasing social distance. However, it was found that while entrainment is indeed strong for siblings, friends actually show less entrainment than strangers. Same-gender pairs showed stronger entrainment than opposite-gender pairs. Entrainment was also found to be vowel-dependent, with /a/ exhibiting the most variation.",
keywords = "GMM, MFCC, Phonetic entrainment, Sociophonetics, Vowels",
author = "Pavel Kholiavin and Alla Menshikova and Tatiana Kachkovskaia and Daniil Kocharov",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; Text, Speech, and Dialogue : 24th International Conference, TSD 2021 ; Conference date: 06-09-2021 Through 09-09-2021",
year = "2021",
month = sep,
day = "6",
doi = "10.1007/978-3-030-83527-9_47",
language = "English",
isbn = "978-3-030-83527-9",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "550--557",
editor = "Kamil Ek{\v s}tein and Franti{\v s}ek P{\'a}rtl and Miloslav Konop{\'i}k",
booktitle = "Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Estimating Social Distance Between Interlocutors with MFCC-Based Acoustic Models for Vowels
AU - Kholiavin, Pavel
AU - Menshikova, Alla
AU - Kachkovskaia, Tatiana
AU - Kocharov, Daniil
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/9/6
Y1 - 2021/9/6
N2 - The present study is devoted to measuring speech entrainment between interlocutors of varying social distance based on their vowels’ characteristics. 5 degrees of social distance were taken into consideration: siblings, friends, strangers of same and opposite gender, and strangers of significantly different age and social status. Speaker-dependent acoustic models of cardinal Russian vowels /i/, /a/, and /u/ were constructed and compared. We hypothesized that entrainment would be the strongest between siblings and decrease with increasing social distance. However, it was found that while entrainment is indeed strong for siblings, friends actually show less entrainment than strangers. Same-gender pairs showed stronger entrainment than opposite-gender pairs. Entrainment was also found to be vowel-dependent, with /a/ exhibiting the most variation.
AB - The present study is devoted to measuring speech entrainment between interlocutors of varying social distance based on their vowels’ characteristics. 5 degrees of social distance were taken into consideration: siblings, friends, strangers of same and opposite gender, and strangers of significantly different age and social status. Speaker-dependent acoustic models of cardinal Russian vowels /i/, /a/, and /u/ were constructed and compared. We hypothesized that entrainment would be the strongest between siblings and decrease with increasing social distance. However, it was found that while entrainment is indeed strong for siblings, friends actually show less entrainment than strangers. Same-gender pairs showed stronger entrainment than opposite-gender pairs. Entrainment was also found to be vowel-dependent, with /a/ exhibiting the most variation.
KW - GMM
KW - MFCC
KW - Phonetic entrainment
KW - Sociophonetics
KW - Vowels
UR - https://link.springer.com/chapter/10.1007/978-3-030-83527-9_47
UR - http://www.scopus.com/inward/record.url?scp=85115229772&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/891b8f58-64d6-3c16-a4c7-ec9ce69d0386/
U2 - 10.1007/978-3-030-83527-9_47
DO - 10.1007/978-3-030-83527-9_47
M3 - Conference contribution
SN - 978-3-030-83527-9
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 550
EP - 557
BT - Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings
A2 - Ekštein, Kamil
A2 - Pártl, František
A2 - Konopík, Miloslav
PB - Springer Nature
T2 - Text, Speech, and Dialogue
Y2 - 6 September 2021 through 9 September 2021
ER -
