Publication Details

How To Improve Your Speaker Embeddings Extractor in Generic Toolkits

ZEINALI, H.; BURGET, L.; ROHDIN, J.; STAFYLAKIS, T.; ČERNOCKÝ, J. How To Improve Your Speaker Embeddings Extractor in Generic Toolkits. In Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). Brighton: IEEE Signal Processing Society, 2019. p. 6141-6145. ISBN: 978-1-5386-4658-8.
Czech title
Jak zlepšit Váš extraktor embeddingů mluvčích v běžných toolkitech
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Stafylakis Themos
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

Deep neural network, speaker embedding, xvector, Tensorflow, Kaldi.

Abstract

Recently, speaker embeddings extracted with deep neural networks became the state-of-the-art method for speaker verification. In this paper we aim to facilitate its implementation on a more generic toolkit than Kaldi, which we anticipate to enable further improvements on the method. We examine several tricks in training, such as the effects of normalizing input features and pooled statistics, different methods for preventing overfitting as well as alternative nonlinearities that can be used instead of Rectifier Linear Units. In addition, we investigate the difference in performance between TDNN and CNN, and between two types of attention mechanism. Experimental results on Speaker in the Wild, SRE 2016 and SRE 2018 datasets demonstrate the effectiveness of the proposed implementation.

Published
2019
Pages
6141–6145
Proceedings
Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
ISBN
978-1-5386-4658-8
Publisher
IEEE Signal Processing Society
Place
Brighton
DOI
10.1109/ICASSP.2019.8683445
UT WoS
000482554006074
EID Scopus
2-s2.0-85068991245
BibTeX 
@inproceedings{BUT158087,
  author="Hossein {Zeinali} and Lukáš {Burget} and Johan Andréas {Rohdin} and Themos {Stafylakis} and Jan {Černocký}",
  title="How To Improve Your Speaker Embeddings Extractor in Generic Toolkits",
  booktitle="Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)",
  year="2019",
  pages="6141--6145",
  publisher="IEEE Signal Processing Society",
  address="Brighton",
  doi="10.1109/ICASSP.2019.8683445",
  isbn="978-1-5386-4658-8",
  url="https://ieeexplore.ieee.org/abstract/document/8683445"
}
Back to top