Publication detail

Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge

KARAFIÁT, M. GRÉZL, F. BURGET, L. SZŐKE, I. ČERNOCKÝ, J.

Original Title

Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge

English Title

Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge

Type

conference paper

Language

en

Original Abstract

We have presented our work towards the ASR of wide-band noisy reverberant speech in ASpIRE challenge. To solve this task, we have started with augmenting Fisher data with artificially noised and reverberated versions.

English abstract

We have presented our work towards the ASR of wide-band noisy reverberant speech in ASpIRE challenge. To solve this task, we have started with augmenting Fisher data with artificially noised and reverberated versions.

Keywords

speech recognition, reverberation, dereverberation, neural networks, DNN

RIV year

2015

Released

06.09.2015

Publisher

International Speech Communication Association

Location

Dresden

ISBN

978-1-5108-1790-6

Book

Proceedings of Interspeech 2015

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

2454

Pages to

2458

Pages count

5

URL

BibTex


@inproceedings{BUT119908,
  author="Martin {Karafiát} and František {Grézl} and Lukáš {Burget} and Igor {Szőke} and Jan {Černocký}",
  title="Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge",
  annote="We have presented our work towards the ASR of wide-band noisy reverberant speech
in ASpIRE challenge. To solve this task, we have started with augmenting Fisher
data with artificially noised and reverberated versions.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Interspeech 2015",
  chapter="119908",
  edition="NEUVEDEN",
  howpublished="electronic, physical medium",
  institution="International Speech Communication Association",
  number="09",
  year="2015",
  month="september",
  pages="2454--2458",
  publisher="International Speech Communication Association",
  type="conference paper"
}