Detail publikace

How To Improve Your Speaker Embeddings Extractor in Generic Toolkits

ZEINALI, H. BURGET, L. ROHDIN, J. STAFYLAKIS, T. ČERNOCKÝ, J.

Originální název

How To Improve Your Speaker Embeddings Extractor in Generic Toolkits

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Recently, speaker embeddings extracted with deep neural networksbecame the state-of-the-art method for speaker verification. In thispaper we aim to facilitate its implementation on a more generictoolkit than Kaldi, which we anticipate to enable further improvementson the method. We examine several tricks in training, suchas the effects of normalizing input features and pooled statistics, differentmethods for preventing overfitting as well as alternative nonlinearitiesthat can be used instead of Rectifier Linear Units. In addition,we investigate the difference in performance between TDNNand CNN, and between two types of attention mechanism. Experimentalresults on Speaker in the Wild, SRE 2016 and SRE 2018datasets demonstrate the effectiveness of the proposed implementation.

Klíčová slova

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

Autoři

ZEINALI, H.; BURGET, L.; ROHDIN, J.; STAFYLAKIS, T.; ČERNOCKÝ, J.

Vydáno

12. 5. 2019

Nakladatel

IEEE Signal Processing Society

Místo

Brighton

ISBN

978-1-5386-4658-8

Kniha

Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)

Strany od

6141

Strany do

6145

Strany počet

5

URL

https://ieeexplore.ieee.org/abstract/document/8683445

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"
}

Dokumenty

zeinali_icassp2019_0006141.pdf