Over the last months, several journal publications related to our research on flamenco & technology are finally online.
One of them is a work with my former PhD student, Nadine Kroher (who now moved to Universidad de Sevilla), on the automatic transcription of flamenco singing. Flamenco singing is really challenging in terms of computational modelling, given its ornamented character and variety, and we have designed a system for its automatic transcription, focusing on polyphonic recordings.
The proposed system outperforms state of the art singing transcription systems with respect to voicing accuracy, onset detection, and overall performance when evaluated on flamenco singing datasets. We hope it think will be a contribution not only to flamenco research but to other singing styles.
You can read about our algorithm at the paper we published at IEEE TASP, where we present the method, strategies for evaluation and comparison with state of the art approaches. You can not only read, but actually try it, as we published an open source software for the algorithm, plus a music dataset for its comparative evaluation, cante2midi (I will talk about flamenco corpus in another post). All of this to foster research reproducibility and motivate people to work on flamenco music.