Publication Details

Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations

STAFYLAKIS Themos, MOŠNER Ladislav, KAKOUROS Sofoklis, PLCHOT Oldřich, BURGET Lukáš and ČERNOCKÝ Jan. Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations. In: 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Doha: IEEE Signal Processing Society, 2023, pp. 1136-1143. ISBN 978-1-6654-7189-3. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10023345

Czech title

Extrakce informací o mluvčím a emocích ze self-supervised modelů řeči pomocí korelace po kanálech

Type

conference paper

Language

english

Authors

Stafylakis Themos (OMILIA)
Mošner Ladislav, Ing. (DCGM FIT BUT)
Kakouros Sofoklis ( unknown)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)

URL

Keywords

Speaker identification, speaker verification, emotion recognition, self-supervised models

Published

2023

Pages

1136-1143

Proceedings

2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings

Conference

Spoken Language Technology Workshop 2022, Doha, QA

ISBN

978-1-6654-7189-3

Publisher

IEEE Signal Processing Society

Place

Doha, QA

DOI

10.1109/SLT54892.2023.10023345

EID Scopus

2-s2.0-85144287715

BibTeX

@INPROCEEDINGS{FITPUB12985,
   author = "Themos Stafylakis and Ladislav Mo\v{s}ner and Sofoklis Kakouros and Old\v{r}ich Plchot and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}",
   title = "Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations",
   pages = "1136--1143",
   booktitle = "2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings",
   year = 2023,
   location = "Doha, QA",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-6654-7189-3",
   doi = "10.1109/SLT54892.2023.10023345",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12985"
}