Interactive user correction of automatically detected onsets: approach and evaluation
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Título: | Interactive user correction of automatically detected onsets: approach and evaluation |
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Autor/es: | Valero-Mas, Jose J. | Iñesta, José M. |
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: | User interaction | Onset detection | Information retrieval | Audio analysis |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 27-jun-2017 |
Editor: | SpringerOpen |
Cita bibliográfica: | EURASIP Journal on Audio, Speech, and Music Processing. 2017, 2017:15. doi:10.1186/s13636-017-0111-7 |
Resumen: | Onset detection still has room for improvement, especially when dealing with polyphonic music signals. For certain purposes in which the correctness of the result is a must, user intervention is hence required to correct the mistakes performed by the detection algorithm. In such interactive paradigm, the exactitude of the detection can be guaranteed at the expense of user’s work, being the effort required to accomplish the task, the value that has to be both quantified and reduced. The present work studies the idea of interactive onset detection and proposes a methodology for assessing the user’s workload, as well as a set of interactive schemes for reducing such workload when carrying out this detection task. Results show that the evaluation strategy proposed is able to quantitatively assess the invested user effort. Also, the presented interactive schemes significantly facilitate the correction task compared with the manual annotation. |
Patrocinador/es: | This research work is partially supported by the Vicerrectorado de Investigación, Desarrollo e Innovación de la Universidad de Alicante through FPU program (UAFPU2014–5883) and the Spanish Ministerio de Economía y Competitividad through the TIMuL project (No. TIN2013–48152–C2–1–R, supported by EU FEDER funds). |
URI: | http://hdl.handle.net/10045/67773 |
ISSN: | 1687-4714 (Print) | 1687-4722 (Online) |
DOI: | 10.1186/s13636-017-0111-7 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1186/s13636-017-0111-7 |
Aparece en las colecciones: | INV - GRFIA - Artículos de Revistas |
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2017_Valero_Inesta_EURASIP.pdf | 1,18 MB | Adobe PDF | Abrir Vista previa | |
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