Denoising Esophageal Speech using Combination of Complex and Discrete Wavelet Transform with Wiener filter and Time Dilated Fourier Cepstra - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue ITM Web of Conferences Année : 2022

Denoising Esophageal Speech using Combination of Complex and Discrete Wavelet Transform with Wiener filter and Time Dilated Fourier Cepstra

Résumé

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.

Dates et versions

hal-03780131 , version 1 (19-09-2022)

Identifiants

Citer

Madiha Amarjouf, Fadoua Bahja, Joseph Di Martino, Mouhcine Chami, El Hassan Ibn Elhaj. Denoising Esophageal Speech using Combination of Complex and Discrete Wavelet Transform with Wiener filter and Time Dilated Fourier Cepstra. ITM Web of Conferences, 2022, The 4th International Conference on Computing and Wireless Communication Systems (ICCWCS 2022), 48, pp.03004. ⟨10.1051/itmconf/20224803004⟩. ⟨hal-03780131⟩
37 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More