STUDY AND IMPLEMENTATION OF ADVANCED ALGORITHMS FOR SPEECH ENHANCEMENT

dc.contributor.authorZhumabayeva, Dilbar
dc.date.accessioned2024-06-18T12:25:31Z
dc.date.available2024-06-18T12:25:31Z
dc.date.issued2024-06-06
dc.description.abstractThis report presents a study of speech enhancement algorithms aimed at reducing ambient noise and improving speech quality. The report focuses on traditional methods such as spectral subtraction as well as advanced methods based on adaptive filters. Implementation of these algorithms was done using MATLAB and evaluation was done using objective measures such as Perceptual Speech Quality Score (PESQ) and Short-Term Objective Intelligibility (STOI). The results indicate the effectiveness of these algorithms in improving speech signals.en_US
dc.identifier.citationZhumabayeva, D. (2024). Study and Implementation of Advanced Algorithms for Speech Enhancement. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7896
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectSpeech enhancementen_US
dc.subjectType of access: Open Accessen_US
dc.titleSTUDY AND IMPLEMENTATION OF ADVANCED ALGORITHMS FOR SPEECH ENHANCEMENTen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Muhammad_Dilbar_CapstoneReport.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Description:
capstone project