Publication detail

Robust Speech Recognition in Unknown Reverberant and Noisy Conditions

HSIAO, R. MA, J. HARTMANN, W. KARAFIÁT, M. GRÉZL, F. BURGET, L. SZŐKE, I. ČERNOCKÝ, J. WATANABE, S. CHEN, Z. MALLIDI, S. HEŘMANSKÝ, H. TSAKALIDIS, S. SCHWARTZ, R.

Original Title

Robust Speech Recognition in Unknown Reverberant and Noisy Conditions

Type

conference paper

Language

English

Original Abstract

In this paper, we describe our work on the ASpIRE (Automatic Speech recognition In Reverberant Environments) challenge, which aims to assess the robustness of automatic speech recognition (ASR) systems. The main characteristic of the challenge is developing a high-performance system without access to matched training and development data. While the evaluation data are recorded with far-field microphones in noisy and reverberant rooms, the training data are telephone speech and close talking. Our approach to this challenge includes speech enhancement, neural network methods and acoustic model adaptation, We show that these techniques can successfully alleviate the performance degradation due to noisy audio and data mismatch.

Keywords

ASpIRE challenge, robust speech recognition

Authors

HSIAO, R.; MA, J.; HARTMANN, W.; KARAFIÁT, M.; GRÉZL, F.; BURGET, L.; SZŐKE, I.; ČERNOCKÝ, J.; WATANABE, S.; CHEN, Z.; MALLIDI, S.; HEŘMANSKÝ, H.; TSAKALIDIS, S.; SCHWARTZ, R.

RIV year

2015

Released

13. 12. 2015

Publisher

IEEE Signal Processing Society

Location

Scottsdale, Arizona

ISBN

978-1-4799-7291-3

Book

Proceedings of 2015 IEEE Automatic Speech Recognition and Understanding Workshop

Pages from

533

Pages to

538

Pages count

6

URL

https://www.fit.vut.cz/research/publication/11067/

BibTex

@inproceedings{BUT120392,
  author="Roger {Hsiao} and Jeff {Ma} and William {Hartmann} and Martin {Karafiát} and František {Grézl} and Lukáš {Burget} and Igor {Szőke} and Jan {Černocký} and Shinji {Watanabe} and Zhuo {Chen} and Sri Harish {Mallidi} and Hynek {Heřmanský} and Stavros {Tsakalidis} and Richard {Schwartz}",
  title="Robust Speech Recognition in Unknown Reverberant and Noisy Conditions",
  booktitle="Proceedings of 2015 IEEE Automatic Speech Recognition and Understanding Workshop",
  year="2015",
  pages="533--538",
  publisher="IEEE Signal Processing Society",
  address="Scottsdale, Arizona",
  doi="10.1109/ASRU.2015.7404841",
  isbn="978-1-4799-7291-3",
  url="https://www.fit.vut.cz/research/publication/11067/"
}