Open AccessSpeech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers
Author(s) -
Ali Abd Almisreb,
Nooritawati Md Tahir,
Ahmad Farid Abidin,
Norashidah Md Din
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.11.21391
Subject(s) - malay , speech recognition , computer science , gabor filter , filter (signal processing) , arabic , speech enhancement , wiener filter , noise (video) , speech processing , artificial intelligence , linguistics , feature extraction , image (mathematics) , computer vision , philosophy
In this paper, a speech enhancement method using 2D Gabor filter is proposed. The proposed filter is used to enhance Arabic phoneme speech signals that have been recorded under control environment namely indoor room recording. All the phoneme signals are spoken by Malay speakers and considered as non-native Arabic speakers. Firstly, corrupted speech signals by noise must be enhanced before further processing. The effectiveness of the suggested approach is evaluated in compare with Wiener filter. It is proven that the proposed 2D Gabor filters performed appropriately for speech enhancement purpose at different wavelengths.