Diseño de una herramienta para la gestión de derechos de autor de una pieza fonográfica, mediante la transcripción automática de melodías, usando Music Information Retrieval
By the end of the 80`s and early 90’s, the very first investigations and tangible products from MIR (Music Information Retrieval) were released. MIR would be an interdisciplinary science, that would take charge of extracting musical information from digital processing of its signal; the possibility...
| Autor Principal: | Correa Ruiz, Juan Pablo |
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| Formato: | info:eu-repo/semantics/bachelorThesis |
| Idioma: | spa |
| Publicado: |
Ingenierias
2019
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| Acceso en línea: |
[1] E. González Mejía, M. C. Home Collazos, y H. A. Lozano Valderrama, “Desarrollo de un modelo de gestión de calidad basado en la norma ISO 9001: empresa del sector eléctrico M&M Proyectos e Ingeniería S.A.S.”, Trabajo de grado Ingeniería de Sonido, Universidad de San Buenaventura Medellín, Facultad de Ingeniería, 2019. |
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| Sumario: |
By the end of the 80`s and early 90’s, the very first investigations and tangible products from MIR (Music Information Retrieval) were released. MIR would be an interdisciplinary science, that would take charge of extracting musical information from digital processing of its signal; the possibility of giving to a computer a piece of a song, and this computer finding its tempo, harmony, melody, music scale, seems to be impossible, and not only from musical field, from engineering it also could extract each instrument from a record, find applied processes within the mix, discrimination between speech and music, among others. The social and commercial impact extends itself to generate playlists from the data rendered by the computer. By that time, the most significant reaches for this new science was not applying it on a list of audio files hosted inside a local computer`s hard disk, but taking it to the internet to create a freer data base that would allow the access to a millions of music files.
In this degree work, multiple MIR methods will be investigated, and used to fragment and analyze the audio signal through mathematical autocorrelations, Fourier and Hilbert transform and parabolic interpolations, extracting musical information, such as beats per minute and musical notes from signal spectre to transcribe a melody automatically. This final product will serve as a tool for musical piece registration on Sociedad de Autores y Compositores de Colombia, as it is the legal identity of a piece. |
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