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Algorithmic composition from text: How well can a computer generated song express emotion?
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Algorithmic composition has long been a subject of research in computer science. In this report we investigate how well this knowledge can be applied to generating an emotional song from a piece of text, such as a text message, a tweet or a poem. The algorithm described in this paper uses Markov chains to generate a melody from just a sentence and a mood (happy or sad). It can then be output from some voice software such as Vocaloid, which is used here. The results show that a simple algorithm can be used to generate songs that communicate the wanted emotion. 

Abstract [sv]

Algoritmisk komposition har länge varit ett forskningsämne inom datavetenskapen. I den här rapporten undersöker vi hur denna kunskap kan appliceras för att generera en sång ifrån ett stycke text såsom ett textmeddelande, en tweet eller en dikt. Algoritmen som beskrivs använder Markovkedjor för att generera melodier från bara en mening och en känsla (glad eller ledsen). Sången kan sedan spelas från röstmjukvara, såsom Vocaloid, vilket används här. Resultaten visar att en simpel algoritm kan användas för att generera sånger som kommunicerar den önskade känslan. 

Place, publisher, year, edition, pages
2014. , 20 p.
National Category
Computer Engineering
URN: urn:nbn:se:kth:diva-146295OAI: diva2:723667
Subject / course
Computer Science
Educational program
Bachelor of Science in Engineering - Computer Engineering
Available from: 2014-11-25 Created: 2014-06-11 Last updated: 2014-11-25Bibliographically approved

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