Recognition of pen-based music notation with finite-state machines
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http://hdl.handle.net/10045/64374
Título: | Recognition of pen-based music notation with finite-state machines |
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Autor/es: | Calvo-Zaragoza, Jorge | Oncina, Jose |
Grupo/s de investigación o GITE: | Reconocimiento de Formas e Inteligencia Artificial |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Pen-based recognition | Optical music recognition | Finite-State machines |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 15-abr-2017 |
Editor: | Elsevier |
Cita bibliográfica: | Expert Systems with Applications. 2017, 72: 395-406. doi:10.1016/j.eswa.2016.10.041 |
Resumen: | This work presents a statistical model to recognize pen-based music compositions using stroke recognition algorithms and finite-state machines. The series of strokes received as input is mapped onto a stochastic representation, which is combined with a formal language that describes musical symbols in terms of stroke primitives. Then, a Probabilistic Finite-State Automaton is obtained, which defines probabilities over the set of musical sequences. This model is eventually crossed with a semantic language to avoid sequences that does not make musical sense. Finally, a decoding strategy is applied in order to output a hypothesis about the musical sequence actually written. Comprehensive experimentation with several decoding algorithms, stroke similarity measures and probability density estimators are tested and evaluated following different metrics of interest. Results found have shown the goodness of the proposed model, obtaining competitive performances in all metrics and scenarios considered. |
Patrocinador/es: | This work was supported by the Spanish Ministerio de Educación, Cultura y Deporte through a FPU Fellowship (Ref. AP2012–0939) and the Spanish Ministerio de Economía y Competitividad through the TIMuL Project (No. TIN2013-48152-C2-1-R, supported by UE FEDER funds). |
URI: | http://hdl.handle.net/10045/64374 |
ISSN: | 0957-4174 (Print) | 1873-6793 (Online) |
DOI: | 10.1016/j.eswa.2016.10.041 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2016 Elsevier Ltd. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1016/j.eswa.2016.10.041 |
Aparece en las colecciones: | INV - GRFIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2017_Calvo_Oncina_ESWA_final.pdf | Versión final (acceso restringido) | 1,24 MB | Adobe PDF | Abrir Solicitar una copia |
2017_Calvo_Oncina_ESWA_preprint.pdf | Preprint (acceso abierto) | 686,56 kB | Adobe PDF | Abrir Vista previa |
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