COMPOSITION OF MUSIC WITH DUAL INSTRUMENTS BASED ON MARKOV MODEL

Year 2020, , 1236 - 1247, 25.12.2020

Muratcan Kılıç H. İrem Türkmen

https://doi.org/10.21923/jesd.558720

Abstract

Music has been implemented as a human-made sequence of tones throughout the history. In the last sixty years, there are ongoing studies about automated composition of music by computers. In this study, we propose a novel system, referred to as EMERSON, which exploits Markov process in order to perform automated composition of music. It has been analyzed that whether automatic composed music is approximated or not to the performance of the human-made music. For this purpose, differently from the works in technical literature, two-instrument pieces are generated by the proposed study. First instrument sequence is trained by using human-made composition while sequence of second instrument is trained by using the produced sequence of the first instrument. Performance evaluation of generated music is performed by surveying. In the Turing test part of survey it has been achieved 43.32% success rate, whereas in liking test a success rate of 5.62 points out of 10 is calculated.

Keywords

Markov Model, Automated Music Composition, Dual Instruments

MARKOV MODEL TABANLI ÇİFT ENSTRUMANLI MÜZİK BESTELEME

Abstract

Müzik, tarih boyunca insan eliyle üretilen tonlar dizilimi olarak gerçeklenmiştir. Son altmış yılda müziğin otomatik olarak bilgisayarlar yardımıyla bestelenmesi ile ilgili çalışmalar yapılmaktadır. Bu çalışmada, müziğin otomatik olarak üretilmesinde Markov süreci yaklaşımının kullanıldığı özgün bir müzik besteleme sistemi, EMERSON, sunulmuştur. EMERSON’ın insan yapımı müziklerin performansına ne kadar yaklaşabileceğinin tahlili yapılmıştır. Bunun için önerilen sistemde literatürdeki diğer çalışmalardan farklı olarak iki enstrümanlı parçalar üretilmiştir. Birinci enstrümanın eğitiminde bir insan yapımı beste, ikinci enstrümanın eğitiminde birinci enstrümanın müzik sekansı kullanılmıştır. Üretilen müziklerin performansı anket yoluyla ölçülmüştür. Anketin Turing testi kısmında %43.32 oranında başarı oranı, beğeni testinde ise 10 üzerinden ortalama 5.62 puan elde edilmiştir.

Keywords

Markov Model, Otomatik Müzik Besteleme, Çift Enstruman

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