Recognition of online handwritten music symbols
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/33880
Título: | Recognition of online handwritten music symbols |
---|---|
Autor/es: | Calvo-Zaragoza, Jorge | Oncina, Jose | 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: | Pen-based recognition | Optical music recognition |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 23-sep-2013 |
Resumen: | An effective way of digitizing a new musical composition is to use an e-pen and tablet application in which the user's pen strokes are recognized online and the digital score is created with the sole effort of the composition itself. This work aims to be a starting point for research on the recognition of online handwritten music notation. To this end, different alternatives within the two modalities of recognition resulting from this data are presented: online recognition, which uses the strokes marked by a pen, and offline recognition, which uses the image generated after drawing the symbol. A comparative experiment with common machine learning algorithms over a dataset of 3800 samples and 32 different music symbols is presented. Results show that samples of the actual user are needed if good classification rates are pursued. Moreover, algorithms using the online data, on average, achieve better classification results than the others. |
Descripción: | Paper submitted to MML 2013, 6th International Workshop on Machine Learning and Music, Prague, September 23, 2013. |
URI: | http://hdl.handle.net/10045/33880 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Revisión científica: | si |
Aparece en las colecciones: | INV - GRFIA - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
calvozaragoza-mml13.pdf | 154,46 kB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.