<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>S-transform (ST) is an effective time-frequency representation method with the advantages of short-time Fourier transform and wavelet transform. This paper utilizes the advantages of the power spectral subtraction method and the speech enhancement method to presents a novel speech enhancement algorithm based on discrete ST. Firstly, the speech in time domain is transformed by ST to joint time-frequency domain for spectral subtraction so that the clear speech spectrum can be obtained and then the inverse ST is performed to acquire the enhanced speech in time domain. Simulation experiment is done to verify the validity of the method. The experiment results show that the proposed method can effectively enhance the de-noising ability and improve the signal-to-noise ratio</p>
</abstract>

S-transform (ST) is an effective time-frequency representation method with the advantages of short-time Fourier transform and wavelet transform. This paper utilizes the advantages of the power spectral subtraction method and the speech enhancement method to presents a novel speech enhancement algorithm based on discrete ST. Firstly, the speech in time domain is transformed by ST to joint time-frequency domain for spectral subtraction so that the clear speech spectrum can be obtained and then the inverse ST is performed to acquire the enhanced speech in time domain. Simulation experiment is done to verify the validity of the method. The experiment results show that the proposed method can effectively enhance the de-noising ability and improve the signal-to-noise ratio

Discrete S-Transform Based Speech Enhancement

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Discrete S-Transform Based Speech Enhancement"}

S-transform (ST) is an effective time-frequency representation method with the advantages of short-time Fourier transform and wavelet transform. This paper...

Discrete S-Transform Based Speech Enhancement

Online veröffentlicht: 01. Dez. 2015

Seitenbereich: 2231 - 2246

Eingereicht: 30. Aug. 2015

Akzeptiert: 15. Nov. 2015

DOI: https://doi.org/10.21307/ijssis-2017-851

Schlüsselwörter
Discrete s-transform, time-frequency domain, speech enhancement

© 2015 Guo-hua Hu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Discrete S-Transform Based Speech Enhancement

Online veröffentlicht: 01. Dez. 2015

Seitenbereich: 2231 - 2246

Eingereicht: 30. Aug. 2015

Akzeptiert: 15. Nov. 2015

DOI: https://doi.org/10.21307/ijssis-2017-851

SchlüsselwörterDiscrete s-transform, time-frequency domain, speech enhancement

© 2015 Guo-hua Hu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Discrete s-transform, time-frequency domain, speech enhancement