750 research outputs found
Melodic Transcription of Flamenco Singing from Monophonic and Polyphonic Music Recordings
We propose a method for the automatic transcription of flamenco singing from monophonic and
polyphonic music recordings. Our transcription system is based on estimating the fundamental frequency (f0)
of the singing voice, and follows an iterative strategy for note segmentation and labelling. The generated
transcriptions are used in the context of melodic similarity, style classification and pattern detection. In our
study, we discuss the difficulties found in transcribing flamenco singing and in evaluating the obtained
transcriptions, we analyze the influence of the different steps of the algorithm, and we state the main
limitations of our approach and discuss the challenges for future studies
Automatic Detection of Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings
In this work an analysis of characteristic melodic pattern in flamenco fandango style is carried out. Contrary to
other analysis, where corpora are searched for characteristic melodic patterns, in this work characteristic melodic
patterns are defined by flamenco experts and then searched in the corpora. In our case, the corpora were composed
of pieces taken from two fandango styles, Valverde fandangos and Huelva capital fandangos. The chosen styles are
representative of fandango styles and are also different as for their musical characteristics. The patterns provided by
the flamenco experts were specified in MIDI format, but the corpora under study were provided in audio format.
Two algorithms had to be designed to accomplish the goal of our research: first, an algorithm extracting audio
features from the corpus and outputting a MIDI-like format; second, an algorithm to actually perform the search
based on the output provided by the first algorithm. Flamenco experts assessed the results of the searches and drew
conclusions
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