Detail publikace

Self-supervised speaker embeddings

STAFYLAKIS, T. ROHDIN, J. PLCHOT, O. MIZERA, P. BURGET, L.

Originální název

Self-supervised speaker embeddings

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Contrary to i-vectors, speaker embeddings such as x-vectors are incapable of leveraging unlabelled utterances, due to the classification loss over training speakers. In this paper, we explore an alternative training strategy to enable the use of unlabelled utterances in training. We propose to train speaker embedding extractors via reconstructing the frames of a target speech segment, given the inferred embedding of another speech segment of the same utterance. We do this by attaching to the standard speaker embedding extractor a decoder network, which we feed not merely with the speaker embedding, but also with the estimated phone sequence of the target frame sequence. The reconstruction loss can be used either as a single objective, or be combined with the standard speaker classification loss. In the latter case, it acts as a regularizer, encouraging generalizability to speakers unseen during training. In all cases, the proposed architectures are trained from scratch and in an endto- end fashion. We demonstrate the benefits from the proposed approach on the VoxCeleb and Speakers in the Wild Databases, and we report notable improvements over the baseline.

Klíčová slova

speaker recognition, self-supervised learning, deep learning

Autoři

STAFYLAKIS, T.; ROHDIN, J.; PLCHOT, O.; MIZERA, P.; BURGET, L.

Vydáno

15. 9. 2019

Nakladatel

International Speech Communication Association

Místo

Graz

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2019

Číslo

9

Stát

Francouzská republika

Strany od

2863

Strany do

2867

Strany počet

5

URL

https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2842.pdf

BibTex

@inproceedings{BUT159999,
  author="STAFYLAKIS, T. and ROHDIN, J. and PLCHOT, O. and MIZERA, P. and BURGET, L.",
  title="Self-supervised speaker embeddings",
  booktitle="Proceedings of Interspeech",
  year="2019",
  journal="Proceedings of Interspeech",
  volume="2019",
  number="9",
  pages="2863--2867",
  publisher="International Speech Communication Association",
  address="Graz",
  doi="10.21437/Interspeech.2019-2842",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2842.pdf"
}