Generative Music: Seq2Seq Models for polyphonic enrichment

Παυλάκη, Παρασκευή-Ευγενία; Pavlaki, Paraskevi-Evgenia

dc.contributor.author	Παυλάκη, Παρασκευή-Ευγενία	el
dc.contributor.author	Pavlaki, Paraskevi-Evgenia	en
dc.date.accessioned	2024-08-30T07:32:04Z
dc.date.available	2024-08-30T07:32:04Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/60059
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.27755
dc.description	Εργαστήριο Ψηφιακής Επεξεργασίας Εικόνας και Σημάτων	el
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Symbolic Music Generation	en
dc.subject	Machine Learning	en
dc.subject	Transformers	en
dc.subject	Music	en
dc.subject	Generative Models	en
dc.subject	Παραγωγή μουσικής	el
dc.subject	Παραγωγικά μοντέλα	el
dc.subject	Μετασχηματιστές	el
dc.subject	Μουσική	el
dc.subject	Συμβολική μουσική	el
dc.subject	Μηχανική μάθηση	el
dc.title	Generative Music: Seq2Seq Models for polyphonic enrichment	en
heal.type	bachelorThesis
heal.classification	Machine Learning	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2024-03-29
heal.abstract	Music generation aspires to produce musical pieces that have a pleasant harmonic result along with a complex and stimulating context, engaging listeners in emotional, intellectual and aesthetic dimensions. Polyphonic Music Generation can be modeled as multi-dimensional language generation task, thus, the contribution of state-of-the-art models, techniques and approaches in Natural Language Processing can be more than beneficial when applied in musical context. In this thesis, we propose a Seq2Seq generation approach, designed to enhance compositions by integrating additional voices, incorporating either an upper or lower voice to the given melody. To transform symbolic music contained on a MIDI file into sequential format, suitable for transformer models, we employ modern encoding tools. This enables us to integrate advantages such as byte pair encoding, data augmentation, and other techniques commonly used in Natural Language Processing. Despite music evaluation being a subject of disagreement among members of the research community, the field remains active for academic exploration. In our evaluation process, we introduce a novel approach that integrates quantitative assessment with qualitative criteria, aiming to bridge the gap between objective metrics and human perception.	en
heal.advisorName	Στάμου, Γιώργος	el
heal.committeeMemberName	Στάμου, Γιώργος	el
heal.committeeMemberName	Βουλόδημος, Αθανάσιος	el
heal.committeeMemberName	Κόλλιας, Στέφανος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Σημάτων, Ελέγχου και Ρομποτικής. Εργαστήριο Όρασης Υπολογιστών, Επικοινωνίας Λόγου και Επεξεργασίας Σημάτων	el
heal.academicPublisherID	ntua
heal.numberOfPages	90 σ.	el
heal.fullTextAvailability	false