Monitor tecnológico para el estudio del solfeo
The training of a musician is based on acquiring theoretical and practical skills that are not limited to the domain of a single musical instrument. Singers in particular must develop skills in theory, music reading and music theory that require correct auditory development since this depends on the...
- Autores:
-
Lasso Chaves, Danny Ramsey
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/1155
- Acceso en línea:
- https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=22347
https://repositorio.escuelaing.edu.co/handle/001/1155
- Palabra clave:
- solfeo
biomedica
tecnología
música
Vibrato
Overshot
sing
biomedical
Technology
Music
Vibrato
Overshot
- Rights
- openAccess
- License
- Derechos Reservados - Escuela Colombiana de Ingeniería Julio Garavito
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dc.title.spa.fl_str_mv |
Monitor tecnológico para el estudio del solfeo |
title |
Monitor tecnológico para el estudio del solfeo |
spellingShingle |
Monitor tecnológico para el estudio del solfeo solfeo biomedica tecnología música Vibrato Overshot sing biomedical Technology Music Vibrato Overshot |
title_short |
Monitor tecnológico para el estudio del solfeo |
title_full |
Monitor tecnológico para el estudio del solfeo |
title_fullStr |
Monitor tecnológico para el estudio del solfeo |
title_full_unstemmed |
Monitor tecnológico para el estudio del solfeo |
title_sort |
Monitor tecnológico para el estudio del solfeo |
dc.creator.fl_str_mv |
Lasso Chaves, Danny Ramsey |
dc.contributor.advisor.spa.fl_str_mv |
López López, Juan Manuel (dir) |
dc.contributor.author.spa.fl_str_mv |
Lasso Chaves, Danny Ramsey |
dc.subject.spa.fl_str_mv |
solfeo biomedica tecnología música Vibrato Overshot |
topic |
solfeo biomedica tecnología música Vibrato Overshot sing biomedical Technology Music Vibrato Overshot |
dc.subject.keywords.spa.fl_str_mv |
sing biomedical Technology Music Vibrato Overshot |
description |
The training of a musician is based on acquiring theoretical and practical skills that are not limited to the domain of a single musical instrument. Singers in particular must develop skills in theory, music reading and music theory that require correct auditory development since this depends on their ability to memorize each sound correctly and also reproduce it accurately at the vocal level. Auditory development has been the focus in musical training [1], traditionally methods implemented to master the solfege consist of interpreting different musical discourses repeatedly to achieve the greatest musical perfection at the vocal level [1]. Solfeggio problem consists of the student's ability to understand, from his perception if he is singing within a frequency range where the heights feel correct and if each note is being started at the right time to give the rhythmic sensation corresponding to the text musical that is being read. Historically, solfege teaching is based on a “teacher-learner” model that allows the student to obtain reliable feedback based on the tutor's experience and knowledge. Callaghan and his team [2] mention the importance of external feedback through visual models that are part of body-kinetic intelligence, which can be used to actively contribute to the development of music theory. In the discussion of this research, similar applications will be explored in detail in order to determine if there are works that carry out an analysis that resembles the one carried out in this project and thus guarantee a commercially viable project. With the framework presented above, this project proposes the development of a technological tool based on engineering tools that, from the area of digital biomedical signal processing, supports students of higher education music programs. The tool would allow students to know and improve their tuning and rhythmic precision through the development of exercises proposed by a professional with a flow focused on learning different skills that present different degrees of difficulty as would be done in the academy. The different audiovisual tools that this research offers to the student will be explored and how a feedback and evaluation in real time is generated that will help them adjust their perception and control of the pitch and their sensation of the musical durations accompanied by the results after the training with the tool. |
publishDate |
2020 |
dc.date.accessioned.spa.fl_str_mv |
2020-05-30T00:39:59Z |
dc.date.available.spa.fl_str_mv |
2020-05-30T00:39:59Z |
dc.date.issued.spa.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-10-01T14:29:05Z |
dc.date.available.none.fl_str_mv |
2021-10-01T14:29:05Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Pregrado |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_7a1f |
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Text |
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http://purl.org/redcol/resource_type/TP |
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https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=22347 |
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https://repositorio.escuelaing.edu.co/handle/001/1155 |
url |
https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=22347 https://repositorio.escuelaing.edu.co/handle/001/1155 |
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spa |
language |
spa |
dc.rights.spa.fl_str_mv |
Derechos Reservados - Escuela Colombiana de Ingeniería Julio Garavito |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
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Derechos Reservados - Escuela Colombiana de Ingeniería Julio Garavito https://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
dc.publisher.spa.fl_str_mv |
Escuela Colombiana de Ingeniería Julio Garavito |
dc.publisher.program.spa.fl_str_mv |
Ingeniería Biomédica |
institution |
Escuela Colombiana de Ingeniería Julio Garavito |
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López López, Juan Manuel (dir)2d8f98f2a832a6b0c1d0f79c4bc0644e300Lasso Chaves, Danny Ramsey0cecce877b33f4907b07cd61511077926002020-05-30T00:39:59Z2021-10-01T14:29:05Z2020-05-30T00:39:59Z2021-10-01T14:29:05Z2020https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=22347https://repositorio.escuelaing.edu.co/handle/001/1155The training of a musician is based on acquiring theoretical and practical skills that are not limited to the domain of a single musical instrument. Singers in particular must develop skills in theory, music reading and music theory that require correct auditory development since this depends on their ability to memorize each sound correctly and also reproduce it accurately at the vocal level. Auditory development has been the focus in musical training [1], traditionally methods implemented to master the solfege consist of interpreting different musical discourses repeatedly to achieve the greatest musical perfection at the vocal level [1]. Solfeggio problem consists of the student's ability to understand, from his perception if he is singing within a frequency range where the heights feel correct and if each note is being started at the right time to give the rhythmic sensation corresponding to the text musical that is being read. Historically, solfege teaching is based on a “teacher-learner” model that allows the student to obtain reliable feedback based on the tutor's experience and knowledge. Callaghan and his team [2] mention the importance of external feedback through visual models that are part of body-kinetic intelligence, which can be used to actively contribute to the development of music theory. In the discussion of this research, similar applications will be explored in detail in order to determine if there are works that carry out an analysis that resembles the one carried out in this project and thus guarantee a commercially viable project. With the framework presented above, this project proposes the development of a technological tool based on engineering tools that, from the area of digital biomedical signal processing, supports students of higher education music programs. The tool would allow students to know and improve their tuning and rhythmic precision through the development of exercises proposed by a professional with a flow focused on learning different skills that present different degrees of difficulty as would be done in the academy. The different audiovisual tools that this research offers to the student will be explored and how a feedback and evaluation in real time is generated that will help them adjust their perception and control of the pitch and their sensation of the musical durations accompanied by the results after the training with the tool.La formación de un músico se basa en adquirir competencias teóricas y prácticas que no se limitan al dominio de un solo instrumento musical. Los cantantes en particular deben desarrollar competencias en teoría, lectura musical y solfeo que requieren un correcto desarrollo auditivo puesto que de este depende su capacidad de memorizar cada sonido de forma correcta y así mismo de reproducirlo a nivel vocal de forma precisa. El desarrollo auditivo ha sido el foco en la formación musical[1], tradicionalmente métodos implementados para dominar el solfeo consisten en interpretar diferentes discursos musicales de forma repetida para lograr la mayor perfección musical a nivel vocal[1]. problema del solfeo consiste en la capacidad del estudiante para comprender, desde su percepción si se está cantando dentro de un rango de frecuencias donde las alturas se sienten correctas y si se está iniciando cada nota en el momento preciso para dar la sensación rítmica correspondiente al texto musical que se está leyendo. Históricamente, la enseñanza del solfeo se basa en un modelo “maestro-aprendiz” que permite al estudiante obtener una realimentación confiable basada en la experiencia y conocimientos del tutor. Callaghan y su equipo [2] mencionan la importancia que tiene la realimentación externa por medio de modelos visuales que hacen parte de la inteligencia corporal-cinética, los cuales pueden ser aprovechados para contribuir al desarrollo del estudio del solfeo de manera activa. En la discusión de esta investigación se explorarán detalladamente aquellos aplicativos similares con el fin de determinar si existen trabajos que realicen un análisis que se asemeje al realizado en este proyecto y de este modo, garantizar un proyecto viable comercialmente. Con el marco presentado anteriormente, este proyecto propone el desarrollo de una herramienta tecnológica con base en las herramientas de la ingeniería que, desde el área del procesamiento digital de señales biomédicas apoye a estudiantes de programas de música de educación superior. La herramienta permitiría a los estudiantes conocer y mejorar su afinación y su precisión rítmica mediante el desarrollo de ejercicios propuestos por un profesional con un flujo enfocado al aprendizaje de diferentes habilidades que presentan diferentes grados de dificultad como se realizaría en la academia. Se explorarán las diferentes herramientas audiovisuales que esta investigación ofrece al estudiante y como se genera una retroalimentación y evaluación en tiempo real que le ayudará a ajustar su percepción y control de la afinación y su sensación de las duraciones musicales acompañado de los resultados posteriores al entrenamiento con la herramienta.PregradoIngeniero(a) Biomédico(a)application/pdfspaEscuela Colombiana de Ingeniería Julio GaravitoIngeniería BiomédicaDerechos Reservados - Escuela Colombiana de Ingeniería Julio Garavitohttps://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)http://purl.org/coar/access_right/c_abf2solfeobiomedicatecnologíamúsicaVibratoOvershotsingbiomedicalTechnologyMusicVibratoOvershotMonitor tecnológico para el estudio del solfeoTrabajo de grado - 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