| Issue |
ITM Web Conf.
Volume 48, 2022
The 4th International Conference on Computing and Wireless Communication Systems (ICCWCS 2022)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 6 | |
| Section | Computer Science, Intelligent Systems and Information Technologies | |
| DOI | https://doi.org/10.1051/itmconf/20224803004 | |
| Published online | 02 September 2022 | |
Denoising Esophageal Speech using Combination of Complex and Discrete Wavelet Transform with Wiener filter and Time Dilated Fourier Cepstra
1 Research laboratory in Telecommunications Systems: Networks and Services (STRS), Research team: Multimedia, Signal and Communications Systems (MUSICS), National Institute of Posts and Telecommunications (INPT), Av. Allal Al Fassi, Rabat, Morocco
2 Laboratory of Innovation in Management and Engineering for Enterprise (LIMIE), Institut Supérieur d’Ingénierie et des Affaires (ISGA Rabat), 27 Avenue Oqba, Agdal, Rabat, Morocco
3 Loria - Laboratoire Lorrain de Recherche en Informatique et ses Applications, B.P. 239 54506 Vandoeuvre-lès-Nancy, France
* Corresponding author: amarjouf.madiha@inpt.ac.ma
Esophageal speech is one of the pathological voices, which is known to be weak in intelligibility and hard to understand. Our approach's main idea is to reduce the esophageal speech noises using two-hybrid methods. This paper aims to merge the advantages of wavelet-based methods such as DWT and DTCWT, along with the standard methods such as the Wiener filter and the time dilated Fourier. The first hybrid method applies the filters on the vocal tract cepstrum, while the second one applies them at the synthesis stage. Two experiments were conducted as well to evaluate the results by objective analysis. The results obtained by the proposed hybrid methods gave good performances.
© The Authors, published by EDP Sciences, 2022
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