Abstract
ε -filter can reduce most kinds of noise from a single-channel noisy signal while preserving signals that vary drastically such as speech signals. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose values are set empirically. So far, there have been few studies to evaluate the appropriateness of the parameter settings for ε -filter. This paper employs the correlation coefficient of the filter output and the difference between the filter input and output as the evaluation function of the parameter setting. This paper also describes the algorithm to set the optimal parameter value of ε -filter automatically. To evaluate the adequateness of the obtained parameter, the mean absolute error is calculated. The experimental results show that the adequate parameter in ε -filter can be obtained automatically by using the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 896-901 |
| Number of pages | 6 |
| Journal | Journal of the Acoustical Society of America |
| Volume | 127 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2010 |
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ASJC Scopus subject areas
- Acoustics and Ultrasonics
Cite this
Automatic parameter optimization in epsilon-filter for acoustical signal processing utilizing correlation coefficient. / Abe, Tomomi; Hashimoto, Shuji; Matsumoto, Mitsuharu.
In: Journal of the Acoustical Society of America, Vol. 127, No. 2, 2010, p. 896-901.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automatic parameter optimization in epsilon-filter for acoustical signal processing utilizing correlation coefficient
AU - Abe, Tomomi
AU - Hashimoto, Shuji
AU - Matsumoto, Mitsuharu
PY - 2010
Y1 - 2010
N2 - ε -filter can reduce most kinds of noise from a single-channel noisy signal while preserving signals that vary drastically such as speech signals. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose values are set empirically. So far, there have been few studies to evaluate the appropriateness of the parameter settings for ε -filter. This paper employs the correlation coefficient of the filter output and the difference between the filter input and output as the evaluation function of the parameter setting. This paper also describes the algorithm to set the optimal parameter value of ε -filter automatically. To evaluate the adequateness of the obtained parameter, the mean absolute error is calculated. The experimental results show that the adequate parameter in ε -filter can be obtained automatically by using the proposed method.
AB - ε -filter can reduce most kinds of noise from a single-channel noisy signal while preserving signals that vary drastically such as speech signals. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose values are set empirically. So far, there have been few studies to evaluate the appropriateness of the parameter settings for ε -filter. This paper employs the correlation coefficient of the filter output and the difference between the filter input and output as the evaluation function of the parameter setting. This paper also describes the algorithm to set the optimal parameter value of ε -filter automatically. To evaluate the adequateness of the obtained parameter, the mean absolute error is calculated. The experimental results show that the adequate parameter in ε -filter can be obtained automatically by using the proposed method.
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U2 - 10.1121/1.3278601
DO - 10.1121/1.3278601
M3 - Article
VL - 127
SP - 896
EP - 901
JO - Journal of the Acoustical Society of America
JF - Journal of the Acoustical Society of America
SN - 0001-4966
IS - 2
ER -