Detail publikace

Analysis of X-Vectors for Low-Resource Speech Recognition

KARAFIÁT, M. VESELÝ, K. ČERNOCKÝ, J. PROFANT, J. NYTRA, J. HLAVÁČEK, M. PAVLÍČEK, T.

Originální název

Analysis of X-Vectors for Low-Resource Speech Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper presents a study of usability of x-vectors for adaptation of automatic speech recognition (ASR) systems. Xvectors are Neural Network (NN)-based speaker embeddings recently proposed in speaker recognition (SR). They quickly replaced common i-vectors and became new state-of-the-art technique. Here, the same approach is adopted for ASR with the hope of similar outcome. All experiments were done on ASR for the latest IARPA MATERIAL evaluation running on Pashto language. Over 1% absolute improvement was observed with x-vectors over traditional i-vectors, even when the x-vector extractor was not trained on target Pashto data.

Klíčová slova

speech recognition, adaptation, x-vectors, data augmentation, robustness

Autoři

KARAFIÁT, M.; VESELÝ, K.; ČERNOCKÝ, J.; PROFANT, J.; NYTRA, J.; HLAVÁČEK, M.; PAVLÍČEK, T.

Vydáno

6. 6. 2021

Nakladatel

IEEE Signal Processing Society

Místo

Toronto, Ontario

ISBN

978-1-7281-7605-5

Kniha

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Strany od

6998

Strany do

7002

Strany počet

5

URL

https://www.fit.vut.cz/research/publication/12525/

BibTex

@inproceedings{BUT175794,
  author="KARAFIÁT, M. and VESELÝ, K. and ČERNOCKÝ, J. and PROFANT, J. and NYTRA, J. and HLAVÁČEK, M. and PAVLÍČEK, T.",
  title="Analysis of X-Vectors for Low-Resource Speech Recognition",
  booktitle="ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
  year="2021",
  pages="6998--7002",
  publisher="IEEE Signal Processing Society",
  address="Toronto, Ontario",
  doi="10.1109/ICASSP39728.2021.9414725",
  isbn="978-1-7281-7605-5",
  url="https://www.fit.vut.cz/research/publication/12525/"
}

Dokumenty

karafiat_icassp2021_09414725.pdf