Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case flamenco singing poses a particular challenge due to its complex melodic progressions, intonation inaccuracies, use high degree ornamentation and presence guitar accompaniment. In this study, we explore limitations existing state art systems for propose solution genre: We first extract predominant melody apply novel contour filtering process eliminate segments...

Flamenco is a music tradition from Southern Spain that attracts growing community of enthusiasts around the world. Its unique melodic and rhythmic elements, typically spontaneous improvised interpretation, its diversity regarding styles make this still largely undocumented art form particularly interesting material for musicological studies. In prior works, it has already been demonstrated research on computational analysis flamenco music, despite being relatively new field, can provide...

Abstract Melody categorization refers to the task of grouping a set melodies into categories similar items that originate from same melodic contour. From computational perspective, automatic melody is crucial importance for organization databases, as well large-scale musicological studies—in particular, in context folk music and non-Western traditions. We investigate methods starting raw audio file. For each recording contained collection, we extract pitch sequence representing main line....

This study is a call for action the music information retrieval (MIR) community to pay more attention collaboration with digital archives. The study, which resulted from an interdisciplinary workshop and subsequent discussion, matches demand MIR technologies various archives what already supplied by community. We conclude that expressed demands can only be served sustainably through closer collaborations. Whereas systems are described in scientific publications, usable implementations often...

In music, repetition is a fundamental concept to establish structure and create temporal relationships. Previous approaches detecting in music recordings have mainly focused on discovering repeated patterns of variable length instrumentation at arbitrary locations. this paper, we present novel method for the discovery sung phrases folk and, particular, oral traditions, where written scores are usually unavailable. At first stage, segmentation algorithm partitions automatically generated...

This paper presents an unsupervised approach to vocal detection in music recordings based on dictionary learning. At a first stage, the recording be segmented is treated as training data and K-SVD algorithm used learn which sparsely represents short-term feature sequence that has been extracted from recording. Subsequently, vectors of are reconstructed learned probability appearance atoms estimated. The obtained serves compute value weight function for each frame histogram this then estimate...

This paper presents a method for the discovery of repeated vocal patterns directly from music recordings. At first stage, voice detection algorithm provides rough segmentation recording to parts, based on which an estimate average pattern duration is computed. Then, detector employs sequence alignment used yield ranking pairs matches detected voiced segments. last clustering produces final patterns. Our was evaluated in context flamenco symbolic metadata are very hard produce, yielding...

A key concept in flamenco singing is the constant re-interpretation of orally transmitted melodic templates, which undergo variation and ornamentation during spontaneous performances. We propose a novel framework allows us to model set interpretations same melody analyse differences among them. apply multiple progressive sequence alignment technique obtain graphical holding frequency occurrence characteristic notes note transitions, from underlying template can be approximated. In case...

Flamenco is a music tradition from Southern Spain which attracts growing community of enthusiasts around the world. Its unique melodic and rhythmic elements, typically spontaneous improvised interpretation its diversity regarding styles make this still largely undocumented art form particularly interesting material for musicological studies. In prior works it has already been demonstrated that research on computational analysis flamenco music, despite being relatively new field, can provide...

Most contemporary music tagging systems rely on large volumes of annotated data. As an alternative, we investigate the extent to which synthetically generated excerpts can improve when only small collections are available. To this end, release GTZAN-synth, a synthetic dataset that follows taxonomy well-known GTZAN while being ten times larger in data volume. We first observe simply adding training split does not result into performance improvements. then proceed investigating domain...

The spontaneous expressive interpretation of melodic templates is a fundamental concept in flamenco music. Consequently, the automatic detection such patterns music collections sets basis for number challenging analysis and retrieval tasks. We present novel algorithm manually defined melodies within corpus transcriptions recordings. evaluate performance on example five characteristic from fandango de Valverde style demonstrate that capable retrieving ornamented instances query patterns....