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Recognition of music style from orchestral recording using Music Information Retrieval techniques
Jelínková, Jana ; Zvončák, Vojtěch (referee) ; Kiska, Tomáš (advisor)
As all genres of popular music, classical music consists of many different subgenres. The aim of this work is to recognize those subgenres from orchestral recordings. It is focused on the time period from the very end of 16th century to the beginning of 20th century, which means that Baroque era, Classical era and Romantic era are researched. The Music Information Retrieval (MIR) method was used to classify chosen subgenres. In the first phase of MIR method, parameters were extracted from musical recordings and were evaluated. Only the best parameters were used as input data for machine learning classifiers, to be specific: kNN (K-Nearest Neighbor), LDA (Linear Discriminant Analysis), GMM (Gaussian Mixture Models) and SVM (Support Vector Machines). In the final chapter, all the best results are summarized. According to the results, there is significant difference between the Baroque era and the other researched eras. This significant difference led to better identification of the Baroque era recordings. On the contrary, Classical era ended up to be relatively similar to Romantic era and therefore all classifiers had less success in identification of recordings from this era. The results are in line with music theory and characteristics of chosen musical eras.
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The Pianist's Feeling for Harmony in Compositions from Romanticism
Široká, Zuzana ; Gregor, Vít (advisor) ; Palkovská, Jana (referee)
This thesis explores different ways in which pianist perceive harmony in compositions of the Romantic era. I write about history of harmony and about the context of the Romantic era at the beginning of the thesis. Then I write about Chopin and about his work with a motion, a sound and harmony. The rest of the work devotes to the research. I conducted qualitative research. I interviewed four pianists, with each pianist we talked about three compositions of the Romantic era. I gave scores of the Chopin's Mazurka B minor, op. 30, no. 2 to all of them, the rest of the compositions were chosen by the pianists. They had to choose two compositions, which were created by R. Schumann, S. Rachmaninoff, or F. Liszt. I ask them questions, which realize me to find how they work with the tonality, and to find if they find some characters in keys. I wanted to find how much is important the relief for the hands for them and how much they tend to make a detailed harmonic analysis. I also tried to find if the analysis is rather intuitive or conducted process for them. I interviewed very successful piano teacher Viktoria Kraf and three famous Czech pianists Jaroslava Vernerová, Miroslav Sekera and Jan Jiraský, the professor of the Janáček Academy of Music and Performing Arts in Brno. The answers of the pianists can...
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Recognition of music style from orchestral recording using Music Information Retrieval techniques
Jelínková, Jana ; Zvončák, Vojtěch (referee) ; Kiska, Tomáš (advisor)
As all genres of popular music, classical music consists of many different subgenres. The aim of this work is to recognize those subgenres from orchestral recordings. It is focused on the time period from the very end of 16th century to the beginning of 20th century, which means that Baroque era, Classical era and Romantic era are researched. The Music Information Retrieval (MIR) method was used to classify chosen subgenres. In the first phase of MIR method, parameters were extracted from musical recordings and were evaluated. Only the best parameters were used as input data for machine learning classifiers, to be specific: kNN (K-Nearest Neighbor), LDA (Linear Discriminant Analysis), GMM (Gaussian Mixture Models) and SVM (Support Vector Machines). In the final chapter, all the best results are summarized. According to the results, there is significant difference between the Baroque era and the other researched eras. This significant difference led to better identification of the Baroque era recordings. On the contrary, Classical era ended up to be relatively similar to Romantic era and therefore all classifiers had less success in identification of recordings from this era. The results are in line with music theory and characteristics of chosen musical eras.
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