Musical transcriptions3/2/2023 ![]() Other fields, such as the development and implication of copyright law, commercial music sales, music information retrieval extraction and evaluation metrics. Similarity could improve methods of determining music similarity used in a variety of My use of this theoretical framework in the study of musical Similarity, but also in understanding how current audio-based extraction methods can This research not only has significant importance in our understanding of harmonic Overall, I show that a Riemannian-based approach that observes the chord labels (not using a score) enables music similarity approaches to explore audible music similarity in more depth. This thesis concludes by proposing an adapted version of Riemannian theory (removing the need for a key), which can be applied not only to computationally encoded scores, but also audio and other computationally available data (Chapters 5, and 7). Some of the apparent discrepancies in human-annotated harmony datasets specifically, the Chordify Annotator Subjectivity Dataset, a subset of Chordify’s user edit data, and my own annotation study using the song ‘Little Bit O’ Soul’ (Chapters 3, 4, and 6). Riemann’s theory is then utilised to explain I propose that we would be better able to extract high-level musical features by using traditional music-theoretical methods.įirstly, I report an initial study that highlights harmonies relevance in participants’Ĭlassification of audible music similarity. My doctoral research explores whether traditional scholarly music-theoretical methods of determining harmony (such as Riemann’s theory of harmonic function, and aspects of Schenkerian analysis) could aid in developing better methods for determining similarity. Indeed, it is surprising that such crucial applications still generally rely upon ad-hoc and proprietary methods for determining similarity. ![]() However, long-established theories of harmony such as Hugo Riemann’s theory of ‘harmonic functions’ have been under-utilised in the fields of music cognition and perception, and particularly in music information retrieval and forensic musicology. It does not store any personal data.Harmony appears to have a vital role in listeners’ perceptions of musical similarity. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It allows the website owner to implement or change the website's content in real-time. This cookie is used by the website's WordPress theme. It works only in coordination with the primary cookie. Records the default button state of the corresponding category & the status of CCPA. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". ![]() Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category. This cookie is set by Windows Azure cloud, and is used for load balancing to make sure the visitor page requests are routed to the same server in any browsing session. CookieĪRRAffinity cookie is set by Azure app service, and allows the service to choose the right instance established by a user to deliver subsequent requests made by that user. These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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