Publication detail

Probabilistic embeddings for speaker diarization

SILNOVA, A. BRUMMER, J. ROHDIN, J. STAFYLAKIS, T. BURGET, L.

Original Title

Probabilistic embeddings for speaker diarization

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Speaker embeddings (x-vectors) extracted from very short segments of speech have recently been shown to give competitive performance in speaker diarization. We generalize this recipe by extracting from each speech segment, in parallel with the x-vector, also a diagonal precision matrix, thus providing a path for the propagation of information about the quality of the speech segment into a PLDA scoring backend. These precisions quantify the uncertainty about what the values of the embeddings might have been if they had been extracted from high quality speech segments. The proposed probabilistic embeddings (x-vectors with precisions) are interfaced with the PLDA model by treating the x-vectors as hidden variables and marginalizing them out. We apply the proposed probabilistic embeddings as input to an agglomerative hierarchical clustering (AHC) algorithm to do diarization in the DIHARD19 evaluation set. We compute the full PLDA likelihood by the book for each clustering hypothesis that is considered by AHC. We do joint discriminative training of the PLDA parameters and of the probabilistic x-vector extractor. We demonstrate accuracy gains relative to a baseline AHC algorithm, applied to traditional xvectors (without uncertainty), and which uses averaging of binary log-likelihood-ratios, rather than by-the-book scoring.

Keywords

probabilistic embeddings, speaker diarization

Authors

SILNOVA, A.; BRUMMER, J.; ROHDIN, J.; STAFYLAKIS, T.; BURGET, L.

Released

1. 11. 2020

Publisher

International Speech Communication Association

Location

Tokyo

ISBN

2312-2846

Periodical

Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland

Year of study

2020

Number

11

State

Republic of Finland

Pages from

24

Pages to

31

Pages count

8

URL

https://www.isca-speech.org/archive/Odyssey_2020/abstracts/75.html

BibTex

@inproceedings{BUT164068,
  author="Anna {Silnova} and Johan Nikolaas Langenhoven {Brummer} and Johan Andréas {Rohdin} and Themos {Stafylakis} and Lukáš {Burget}",
  title="Probabilistic embeddings for speaker diarization",
  booktitle="Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop",
  year="2020",
  journal="Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland",
  volume="2020",
  number="11",
  pages="24--31",
  publisher="International Speech Communication Association",
  address="Tokyo",
  doi="10.21437/Odyssey.2020-4",
  issn="2312-2846",
  url="https://www.isca-speech.org/archive/Odyssey_2020/abstracts/75.html"
}