Real-time chord identification application: Enabling lifelong music education through seamless integration of audio processing and machine learning

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dc.contributor.authorÖzbaltan, Nihan
dc.date.accessioned2025-03-20T09:45:02Z
dc.date.available2025-03-20T09:45:02Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractLifelong music education is critical need for all with a particular focus on adult learners and seniors. One of the difficulties in music education is identifying chords accurately. This is a preliminary study to develop a chord identification application using Artificial Intelligence (AI) technologies. I seek to answer the key research question of how audio processing algorithms and deep learning models can be used to provide real-time, accurate and user-friendly chord recognition that meets the diverse needs of adult learners and senior citizens. Our overall goal is to create an application that not only assists with chord identification, but also fosters a lifelong love of music and learning. My methodology is based on the principles of adult and senior education initiatives and includes the following key steps: using ready-made datasets for audio processing and feature extraction, transforming waveforms into mel spectrograms, and preparing and extending the datasets where necessary. I then train and optimise deep learning models, such as various convolutional neural network (CNN) architectures, to achieve high accuracy in chord recognition. By using advanced technologies and adhering to the principles of lifelong learning, our research aims to enhance the musical journey of individuals throughout their lives, contributing to both personal enrichment and cognitive well-being. © 2024 The Author(s).
dc.identifier.doi10.31811/ojomus.1580523
dc.identifier.endpage414
dc.identifier.issn2536-4421
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85214463464
dc.identifier.scopusqualityQ4
dc.identifier.startpage405
dc.identifier.urihttps://doi.org/10.31811/ojomus.1580523
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2136
dc.identifier.volume9
dc.indekslendigikaynakScopus
dc.institutionauthorÖzbaltan, Nihan
dc.language.isotr
dc.publisherNilgun SAZAK
dc.relation.ispartofOnline Journal of Music Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250319
dc.subjectadult learners
dc.subjectartificial intelligence
dc.subjectaudio processing
dc.subjectlifelong music education
dc.subjectmachine learning
dc.titleReal-time chord identification application: Enabling lifelong music education through seamless integration of audio processing and machine learning
dc.title.alternativeGerçek zamanlı akor tanımlama uygulaması: Ses işleme ve makine öğreniminin kusursuz entegrasyonuyla ömür boyu müzik eğitimini mümkün kılıyor
dc.typeArticle

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