Detail publikace

Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition

NOVOTNÝ, O. PLCHOT, O. GLEMBEK, O. ČERNOCKÝ, J. BURGET, L.

Originální název

Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this work, we present an analysis of a DNN-based autoencoder for speech enhancement, dereverberation and denoising. Thetarget application is a robust speaker verification (SV) system. We start our approach by carefully designing a data augmentationprocess to cover a wide range of acoustic conditions and to obtain rich training data for various components of our SV system.We augment several well-known databases used in SV with artificially noised and reverberated data and we use them to train adenoising autoencoder (mapping noisy and reverberated speech to its clean version) as well as an x-vector extractor which is cur-rently considered as state-of-the-art in SV. Later, we use the autoencoder as a preprocessing step for a text-independent SV sys-tem. We compare results achieved with autoencoder enhancement, multi-condition PLDA training and their simultaneous use.We present a detailed analysis with various conditions of NIST SRE 2010, 2016, PRISM and with re-transmitted data. We con-clude that the proposed preprocessing can significantly improve both i-vector and x-vector baselines and that this technique canbe used to build a robust SV system for various target domains.

Klíčová slova

Speakerverification; Signalenhancement; Autoencoder; Neuralnetwork; Robustness; Embedding

Autoři

NOVOTNÝ, O.; PLCHOT, O.; GLEMBEK, O.; ČERNOCKÝ, J.; BURGET, L.

Vydáno

9. 6. 2019

ISSN

0885-2308

Periodikum

COMPUTER SPEECH AND LANGUAGE

Ročník

2019

Číslo

58

Stát

Spojené království Velké Británie a Severního Irska

Strany od

403

Strany do

421

Strany počet

19

URL

BibTex

@article{BUT158089,
  author="Ondřej {Novotný} and Oldřich {Plchot} and Ondřej {Glembek} and Jan {Černocký} and Lukáš {Burget}",
  title="Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition",
  journal="COMPUTER SPEECH AND LANGUAGE",
  year="2019",
  volume="2019",
  number="58",
  pages="403--421",
  doi="10.1016/j.csl.2019.06.004",
  issn="0885-2308",
  url="https://www.sciencedirect.com/science/article/pii/S0885230818303607"
}