## Abstract

This paper describes parameter setting of noise reduction filter using speech recognition system. Parameter setting problem is usually solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence. However, when we consider a single-channel noisy signal, it is difficult to employ such objective functions. It is also difficult to employ them when we consider impulsive noise because its duration is very small to use this assumption. To solve the problems, we directly use a speech recognition system as evaluation function for parameter setting. As an example, we employ time-frequency e-filter and Julius as a filtering system and a speech recognition system, respectively. The experimental results show that the proposed approach has a potential to set the parameter in unknown environments.

Original language | English |
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Title of host publication | ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation |

Pages | 387-391 |

Number of pages | 5 |

Publication status | Published - 2010 |

Event | International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 - Valencia Duration: 2010 Oct 24 → 2010 Oct 26 |

### Other

Other | International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 |
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City | Valencia |

Period | 10/10/24 → 10/10/26 |

## Keywords

- Nonlinear filter
- Parameter optimization
- Recognition-based approach
- Speech recognition system

## ASJC Scopus subject areas

- Computational Theory and Mathematics
- Applied Mathematics