| Title | Predominant Fundamental Frequency Estimation vs Singing Voice Separation for the Automatic Transcription of Accompanied Flamenco Singing |
| Publication Type | Conference Paper |
| Year of Publication | 2012 |
| Conference Name | 13th International Society for Music Information Retrieval Conference (ISMIR 2012) |
| Authors | Gómez, E., Cañadas F., Salamon J., Bonada J., Vera P., & Cabañas P. |
| Conference Start Date | 08/10/2012 |
| Conference Location | Porto |
| Abstract | This work evaluates two strategies for predominant fundamental
frequency (f0) estimation in the context of melodic
transcription from flamenco singing with guitar accompaniment.
The first strategy extracts the f0 from salient pitch
contours computed from the mixed spectrum; the second
separates the voice from the guitar and then performs monophonic
f0 estimation. We integrate both approaches with
an automatic transcription system, which first estimates the
tuning frequency and then implements an iterative strategy
for note segmentation and labeling. We evaluate them
on a flamenco music collection, including a wide range of
singers and recording conditions. Both strategies achieve
satisfying results. The separation-based approach yields
a good overall accuracy (76.81%), although instrumental
segments have to be manually located. The predominant
f0 estimator yields slightly higher accuracy (79.72%) but
does not require any manual annotation. Furthermore, its
accuracy increases (84.68%) if we adapt some algorithm
parameters to each analyzed excerpt. Most transcription
errors are due to incorrect f0 estimations (typically octave
and voicing errors in strong presence of guitar) and incorrect
note segmentation in highly ornamented sections.
Our study confirms the difficulty of transcribing flamenco
singing and the need for repertoire-specific and assisted algorithms
for improving state-of-the-art methods.
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| Full Document | files/publications/MTGUJA-ISMIR2012-FINAL.pdf |
