Detail publikačního výsledku

Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch

SILNOVA, A.; STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; MATĚJKA, P.; BURGET, L.; GLEMBEK, O.; BRUMMER, J.

Originální název

Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch

Anglický název

Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

In this paper, we analyze the behavior and performance ofspeaker embeddings and the back-end scoring model under domainand language mismatch. We present our findings regardingResNet-based speaker embedding architectures and showthat reduced temporal stride yields improved performance. Wethen consider a PLDA back-end and show how a combinationof small speaker subspace, language-dependent PLDA mixture,and nuisance-attribute projection can have a drastic impact onthe performance of the system. Besides, we present an efficientway of scoring and fusing class posterior logit vectors recentlyshown to perform well on speaker verification task. The experimentsare performed using the NIST SRE 2021 setup.

Anglický abstrakt

In this paper, we analyze the behavior and performance ofspeaker embeddings and the back-end scoring model under domainand language mismatch. We present our findings regardingResNet-based speaker embedding architectures and showthat reduced temporal stride yields improved performance. Wethen consider a PLDA back-end and show how a combinationof small speaker subspace, language-dependent PLDA mixture,and nuisance-attribute projection can have a drastic impact onthe performance of the system. Besides, we present an efficientway of scoring and fusing class posterior logit vectors recentlyshown to perform well on speaker verification task. The experimentsare performed using the NIST SRE 2021 setup.

Klíčová slova

speaker, verification, embedding

Klíčová slova v angličtině

speaker, verification, embedding

Autoři

SILNOVA, A.; STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; MATĚJKA, P.; BURGET, L.; GLEMBEK, O.; BRUMMER, J.

Vydáno

28.06.2022

Nakladatel

International Speech Communication Association

Místo

Beijing

Kniha

Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022)

Strany od

9

Strany do

16

Strany počet

8

URL

https://www.isca-speech.org/archive/pdfs/odyssey_2022/silnova22_odyssey.pdf

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT179660,
  author="Anna {Silnova} and Themos {Stafylakis} and Ladislav {Mošner} and Oldřich {Plchot} and Johan Andréas {Rohdin} and Pavel {Matějka} and Lukáš {Burget} and Ondřej {Glembek} and Johan Nikolaas Langenhoven {Brummer}",
  title="Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch",
  booktitle="Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022)",
  year="2022",
  pages="9--16",
  publisher="International Speech Communication Association",
  address="Beijing",
  doi="10.21437/Odyssey.2022-2",
  url="https://www.isca-speech.org/archive/pdfs/odyssey_2022/silnova22_odyssey.pdf"
}

Dokumenty

silnova_odyssey2022_analysis