Publication detail

Data selection by sequence summarizing neural network in mismatch condition training

ŽMOLÍKOVÁ, K. KARAFIÁT, M. VESELÝ, K. DELCROIX, M. WATANABE, S. BURGET, L. ČERNOCKÝ, J.

Original Title

Data selection by sequence summarizing neural network in mismatch condition training

Type

conference paper

Language

English

Original Abstract

Data augmentation is a simple and efficient technique to improve the robustness of a speech recognizer when deployed in mismatched training-test conditions. Our paper proposes a new approach for selecting data with respect to similarity of acoustic conditions. The similarity is computed based on a sequence summarizing neural network which extracts vectors containing acoustic summary (e.g. noise and reverberation characteristics) of an utterance. Several configurations of this network and different methods of selecting data using these "summary-vectors" were explored. The results are reported on a mismatched condition using AMI training set with the proposed data selection and CHiME3 test set.

Keywords

Automatic speech recognition, Data augmentation, Data selection, Mismatch training condition, Sequence summarization

Authors

ŽMOLÍKOVÁ, K.; KARAFIÁT, M.; VESELÝ, K.; DELCROIX, M.; WATANABE, S.; BURGET, L.; ČERNOCKÝ, J.

Released

8. 9. 2016

Publisher

International Speech Communication Association

Location

San Francisco

ISBN

978-1-5108-3313-5

Book

Proceedings of Interspeech 2016

Pages from

2354

Pages to

2358

Pages count

5

URL

https://www.semanticscholar.org/paper/Data-Selection-by-Sequence-Summarizing-Neural-Zmol%C3%ADkov%C3%A1-Karafi%C3%A1t/bc1832e8b8d4e5edf987e1562b578bd9aa5e18a9

BibTex

@inproceedings{BUT132600,
  author="Kateřina {Žmolíková} and Martin {Karafiát} and Karel {Veselý} and Marc {Delcroix} and Shinji {Watanabe} and Lukáš {Burget} and Jan {Černocký}",
  title="Data selection by sequence summarizing neural network in mismatch condition training",
  booktitle="Proceedings of Interspeech 2016",
  year="2016",
  pages="2354--2358",
  publisher="International Speech Communication Association",
  address="San Francisco",
  doi="10.21437/Interspeech.2016-741",
  isbn="978-1-5108-3313-5",
  url="https://www.semanticscholar.org/paper/Data-Selection-by-Sequence-Summarizing-Neural-Zmol%C3%ADkov%C3%A1-Karafi%C3%A1t/bc1832e8b8d4e5edf987e1562b578bd9aa5e18a9"
}