Publication detail

Efficient Noise Estimation and its Application for Robust Speech Recognition

MOTLÍČEK, P., BURGET, L.

Original Title

Efficient Noise Estimation and its Application for Robust Speech Recognition

English Title

Efficient Noise Estimation and its Application for Robust Speech Recognition

Type

conference paper

Language

en

Original Abstract

The investigation of some well known noise estimation techniques is presented. The estimated noise is applied in our noise suppression system that is generally used for speech recognition tasks. Moreover, the algorithms are developed to take part in front-end of Distributed Speech Recognition (DSR). Therefore we have proposed some modifications of noise estimation techniques that are quickly adaptable on varying noise and do not need so much information from past segments. We also minimized the algorithmic delay. The robustness of proposed algorithms were tested under several noisy conditions.

English abstract

The investigation of some well known noise estimation techniques is presented. The estimated noise is applied in our noise suppression system that is generally used for speech recognition tasks. Moreover, the algorithms are developed to take part in front-end of Distributed Speech Recognition (DSR). Therefore we have proposed some modifications of noise estimation techniques that are quickly adaptable on varying noise and do not need so much information from past segments. We also minimized the algorithmic delay. The robustness of proposed algorithms were tested under several noisy conditions.

Keywords

noise estimation, speech recognition

RIV year

2002

Released

10.12.2002

Publisher

Springer Verlag

Location

Berlin

ISBN

3-540-44129-8

Book

5th International Conference, TSD 2002 Brno, Czech Republic, September 2002 Proceedings

Pages from

229

Pages to

236

Pages count

8

URL

BibTex


@inproceedings{BUT10277,
  author="Petr {Motlíček} and Lukáš {Burget}",
  title="Efficient Noise Estimation and its Application for Robust Speech Recognition",
  annote="The investigation of some well known noise estimation techniques
is presented. The estimated noise is applied in our noise
suppression system that is generally used for speech
recognition tasks. Moreover, the algorithms are developed to take part
in front-end of Distributed Speech Recognition (DSR). 
Therefore we have proposed some modifications of noise estimation
techniques that are quickly adaptable on varying noise and do
not need so much information from past segments. We also minimized
the algorithmic delay. The robustness of proposed algorithms
were tested under several noisy conditions.",
  address="Springer Verlag",
  booktitle="5th International Conference, TSD 2002 Brno, Czech Republic, September 2002 Proceedings",
  chapter="10277",
  institution="Springer Verlag",
  year="2002",
  month="december",
  pages="229--236",
  publisher="Springer Verlag",
  type="conference paper"
}