Publications

Ensemble size classification in Colombian Andean string music recordings

Extended version of our CMMR2019 paper published in the Springer Lecture Notes in Computer Science book series (LNCS, volume 12631)
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Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter

The bambuco, one of the national rhythms of Colombia, is characterized by the presence of sesquialteras or the superposition of …
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Analyzing the potential of pre-trained embeddings for audio classification tasks

In the context of deep learning, the availability of large amounts of training data can play a critical role in a model’s …
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ACMUS - Advancing Computational Musicology: Semi-supervised and Unsupervised Segmentation and Annotation of Musical Collections

This extended abstract describes the ACMus project, including its scope, partners, and current results.
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Ensemble size classification in Colombian Andean string music recordings

Reliable methods for automatic retrieval of semantic information from large digital music archives can play a critical role in …
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ACMUS-MIR: An annotated data set of Andean Colombian music

The music from the Andean region of Colombia has many particularities in terms of tempo, meter complexity and sesquialteras, tuning …
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Singing Voice, Speech, or Something in Between

In the context of the ACMus research project, we are investigating automatic techniques for annotation and segmentation of digital …
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