Journals / Çevrimiçi Müzik Bilimleri Dergisi / 2026 / Cilt: 11 Sayı: 1

Form analysis in Baroque music using artificial intelligence: investigation and comparison of three artificial intelligence models

Barok müzikte yapay zekâ ile form analizi: üç yapay zekâ modelinin incelenmesi ve karşılaştırılması

Turgay Tunç(Zonguldak Bülent Ecevit Üniversitesi, Zonguldak, Türkiye)0000-0002-5257-5469
Pages
147–160
Publication Date
2026-02-02
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The research concluded that AI language models have the potential to serve as supportive tools in form analysis, but their performance varies significantly across model types.

📌 3 Key Takeaways

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Objective & Hypothesis:The purpose of this study is to investigate and compare the form analyses of the piano piece Musette, BWV Anh. 126, from the Anna Magdalena Bach album by Johann Sebastian Bach, a Baroque composer, performed by artificial intelligence models.
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Key Findings & Data:In the study’s artificial intelligence-based analysis, the paid versions of the ChatGPT-5, Claude Sonnet 4.5, and Gemini 2.5 models were used.
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Conclusion & Impact:The research concluded that AI language models have the potential to serve as supportive tools in form analysis, but their performance varies significantly across model types.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:müzik · piyano · yapay zekâ

Abstract

The purpose of this study is to investigate and compare the form analyses of the piano piece Musette, BWV Anh. 126, from the Anna Magdalena Bach album by Johann Sebastian Bach, a Baroque composer, performed by artificial intelligence models. The study employed the document review method, a qualitative research design. The form analysis of the piece was conducted using three different artificial intelligence models. These analyses were evaluated comparatively. In the study’s artificial intelligence-based analysis, the paid versions of the ChatGPT-5, Claude Sonnet 4.5, and Gemini 2.5 models were used. These models were chosen because they can perform analysis using conceptual and linguistic musical knowledge. Therefore, their usability in education is important. In this respect, ChatGPT, Claude, and Gemini are models with potential for educational interpretation, not just for technical analysis. In the AI analysis process, the same instructions were given to each model, and the work’s notation was loaded into the models in PDF format; the form analysis of the work was interpreted using a natural language processing infrastructure. The research concluded that AI language models have the potential to serve as supportive tools in form analysis, but their performance varies significantly across model types.

Özet

Bu araştırmanın amacı, Barok dönem bestecilerinden Johann Sebastian Bach’a ait Anna Magdalena Bach albümünden BWV Anh. 126 Musette adlı piyano eserinin, yapay zekâ modellleri tarafından yapılan form analizlerini incelemek ve karşılaştırmaktır. Araştırmada, nitel araştırma desenlerinden doküman incelemesi yöntemi kullanılmıştır. Araştırmada, eserin form analizi üç farklı yapay zekâ modeli ile yapılmıştır. Bu analizler karşılaştırmalı olarak değerlendirilmiştir. Araştırmanın yapay zekâ temelli analiz sürecinde, ChatGPT-5 modeli, Claude Sonnet 4.5 modeli ve Gemini 2.5 modelinin ücretli versiyonları kullanılmıştır. Bu modellerin tercih edilme sebebi, kavramsal ve dilsel müzik bilgisini kullanarak analiz yapabilmeleridir. Bu nedenle eğitimde kullanılabilirliği önem teşkil etmektedir. Bu bakımdan ChatGPT, Calaude ve Gemini, yalnızca teknik analiz değil, eğitimsel yorumlama potansiyeli olan modellerdir. Yapay zekâ analiz sürecinde, her modele aynı yönerge verilerek eserin notası PDF formatında modellere yüklenmiş; eserin form analizi doğal dil işleme altyapısıyla yorumlanmıştır. Araştırma sonucunda, yapay zekâ dil modellerinin form analizi alanında destekleyici araçlar olarak kullanılabilme potansiyeline sahip olduğu, ancak performanslarının model türüne göre önemli farklılıklar gösterdiği sonuca varılmıştır.

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Cite This Article

Tunç, T. (2026). Form analysis in Baroque music using artificial intelligence: investigation and comparison of three artificial intelligence models. Çevrimiçi Müzik Bilimleri Dergisi, Cilt: 11 Sayı: 1, 147–160. https://doi.org/10.31811/ojomus.1806956

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