Comparación de métodos analíticos para la generación de audio personalizado (beamforming)

The generation of personalized audio (Beamforming) requiers regularization processes to be viable in non-ideal conditions. The implementation of the Inverse Method could not be achieved because of its big amoung of energy consumption. Based on the above, this work tends to develop a comparison betwe...

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Autores:
Pérez Jaramillo, Juan Sebastián
Vega Correa, Juan Sebastián
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/6260
Acceso en línea:
http://hdl.handle.net/10819/6260
Palabra clave:
Beamforming
Problema inverso
Presión acústica
Velocidad de partícula
Inverse problem
Acoustic pressure
Beamforming
Particle velocity
Acústica
Audio
Procesamiento digital de señales
Presión del sonido
Filtros digitales
Altavoces;
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
id SANBUENAV2_d81222d5ef11e154ba1a04dcd067debb
oai_identifier_str oai:bibliotecadigital.usb.edu.co:10819/6260
network_acronym_str SANBUENAV2
network_name_str Repositorio USB
repository_id_str
dc.title.spa.fl_str_mv Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
title Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
spellingShingle Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
Beamforming
Problema inverso
Presión acústica
Velocidad de partícula
Inverse problem
Acoustic pressure
Beamforming
Particle velocity
Acústica
Audio
Procesamiento digital de señales
Presión del sonido
Filtros digitales
Altavoces;
title_short Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
title_full Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
title_fullStr Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
title_full_unstemmed Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
title_sort Comparación de métodos analíticos para la generación de audio personalizado (beamforming)
dc.creator.fl_str_mv Pérez Jaramillo, Juan Sebastián
Vega Correa, Juan Sebastián
dc.contributor.advisor.none.fl_str_mv Murillo Gómez, Diego Mauricio
Murillo Gómez, Diego Mauricio
dc.contributor.author.none.fl_str_mv Pérez Jaramillo, Juan Sebastián
Vega Correa, Juan Sebastián
dc.subject.spa.fl_str_mv Beamforming
Problema inverso
Presión acústica
Velocidad de partícula
Inverse problem
Acoustic pressure
Beamforming
Particle velocity
topic Beamforming
Problema inverso
Presión acústica
Velocidad de partícula
Inverse problem
Acoustic pressure
Beamforming
Particle velocity
Acústica
Audio
Procesamiento digital de señales
Presión del sonido
Filtros digitales
Altavoces;
dc.subject.lemb.spa.fl_str_mv Acústica
Audio
Procesamiento digital de señales
Presión del sonido
Filtros digitales
Altavoces;
description The generation of personalized audio (Beamforming) requiers regularization processes to be viable in non-ideal conditions. The implementation of the Inverse Method could not be achieved because of its big amoung of energy consumption. Based on the above, this work tends to develop a comparison between different methods for the generation of Beamforming with the aim of finding pros and cons of each one of them. Using the software MATLAB a theoretical comparison was done taking into account parameters such as Acoustic Contrast, required energy and sound pressure level withing a given frequency range. That information was validated through a set of subjective tests in which there was taken into account parameters such as Acoustic Contrast, Frequency Response, sound pressure level and level of joy of each method with the subjects beeing interrogated. A numerical and statistical analysis was done in order to get some conclusions of the work in question
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2018-10-03T14:43:36Z
dc.date.available.none.fl_str_mv 2018-10-03T14:43:36Z
dc.date.issued.none.fl_str_mv 2018
dc.date.submitted.none.fl_str_mv 2018-09-27
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.spa.spa.fl_str_mv Trabajo de Grado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.identifier.citation.spa.fl_str_mv Referencia/Reference Estilo/Style: IEEE (2014) [1] J. S. Pérez Jaramillo y J. S. Vega Correa, “Comparación de métodos analíticos para la generación de audio personalizado (beamforming)”,Trabajo de grado Ingeniería de Sonido, Universidad de San,Buenaventura Medellín, Facultad de Ingenierías, 2018.
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10819/6260
identifier_str_mv Referencia/Reference Estilo/Style: IEEE (2014) [1] J. S. Pérez Jaramillo y J. S. Vega Correa, “Comparación de métodos analíticos para la generación de audio personalizado (beamforming)”,Trabajo de grado Ingeniería de Sonido, Universidad de San,Buenaventura Medellín, Facultad de Ingenierías, 2018.
url http://hdl.handle.net/10819/6260
dc.language.iso.spa.fl_str_mv spa
language spa
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.cc.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
http://purl.org/coar/access_right/c_abf2
dc.format.spa.fl_str_mv pdf
dc.format.extent.spa.fl_str_mv 104 páginas
dc.format.medium.spa.fl_str_mv Recurso en linea
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.faculty.spa.fl_str_mv Ingenierias
dc.publisher.program.spa.fl_str_mv Ingeniería de Sonido
dc.publisher.sede.spa.fl_str_mv Medellín
institution Universidad de San Buenaventura
dc.source.bibliographicCitation.spa.fl_str_mv [1] Y. Kim and P. Nelson, “Optimal regularisation for acoustic source reconstruction by inverse methods,” Journal of sound and vibration, vol. 275, no. 3-5, pp. 463–487, 2004.
[2] P. A. Nelson and S.-H. Yoon, “Estimation of acoustic source strength by inverse methods: Part i, conditioning of the inverse problem,” Journal of sound and vibration, vol. 233, no. 4, pp. 639–664, 2000.
[3] F. Olivieri, F. M. Fazi, M. Shin, and P. Nelson, “Pressure-matching beamforming method for loudspeaker arrays with frequency dependent selection of control points,” in Audio Engineering Society Convention 138, Audio Engineering Society, 2015.
[4] F. Olivieri, F. M. Fazi, P. A. Nelson, and S. Fontana, “Comparison of strategies for accurate reproduction of a target signal with compact arrays of loudspeakers for the generation of zones of private sound and silence,” Journal of the Audio Engineering Society, vol. 64, no. 11, pp. 905–917, 2016.
[5] M. Shin, F. M. Fazi, P. A. Nelson, and J. Seo, “Control of velocity for sound field reproduction,” in Audio Engineering Society Conference: 52nd International Conference: Sound Field Control-Engineering and Perception, Audio Engineering Society, 2013.
[6] M. Song, S.-H. Baek, S.-P. Lee, and H.-G. Kang, “Constrained-optimized sound beamforming of loudspeaker-array system,” in Audio Engineering Society Convention 125, Audio Engineering Society, 2008.
[7] K. Watanabe, A. Yasuda, H. Ohtani, R. Suzuki, N. Shinkawa, T. Tsuchiya, and K. Tsuihiji, “A novel beam-forming loudspeaker system using digitally driven speaker system,” in Audio Engineering Society Convention 127, Audio Engineering Society, 2009
[8] M. Iwaide, A. Yasuda, D. Kuniyoshi, K. Yokota, Y. Moriyasu, K. Sakuta, F. Nakashima, Y. Masayuki, and M. Yoshino, “A novel sharp beam-forming flat panel loudspeaker using digitally driven speaker system,” in Audio Engineering Society Convention 131, Audio Engineering Society, 2011.
[9] M. Poletti and T. Betlehem, “Design of a prototype variable directivity loudspeaker for improved surround sound reproduction in rooms,” in Audio Engineering Society Conference: 52nd International Conference: Sound Field Control-Engineering and Perception, Audio Engineering Society, 2013.
[10] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, “Intelligent acoustic interfaces for immersive audio,” in Audio Engineering Society Convention 134, Audio Engineering Society, 2013.
[11] T. Koski, F. Fazi, and V. Pulkki, “Beamformer performance in sound fields produced by amplitude panning,” in Audio Engineering Society Conference: 55th International Conference: Spatial Audio, Audio Engineering Society, 2014.
[12] S. Delikaris-Manias and V. Pulkki, “Parametric spatial filter utilizing dual beamformer and snrbased smoothing,” in Audio Engineering Society Conf
[13] J. Xie, S. Yoo, and K. Jain, “A low computational complexity beamforming scheme concatenated with noise cancellation,” in Audio Engineering Society Convention 140, Audio Engineering Society, 2016.
[14] T. Ramanana, P.-A. Gauthier, A. Bolduc, and A. Berry, “Sound reproduction by beamforming capture and wave field synthesis,” in Audio Engineering Society Conference: 55th International Conference: Spatial Audio, Audio Engineering Society, 2014.
[15] D. Ochoa Plaza and S. Sierra Vargas, “Construcción de un arreglo de altavoces y su aplicación en audio personalizado (beamforming),” 2017.
[16] F. Fahy and J. Walker, Fundamentals of noise and vibration. London: CRC Press, 1998.
[17] G. H. Golub and C. Reinsch, “Singular value decomposition and least squares solutions,” in Linear Algebra, pp. 134–151, Springer, 1971.
[18] T. S. Shores, Applied linear algebra and matrix analysis. New York: Springer Science & Business Media, 2007.
[19] D. M. M. Gómez, J. Astley, and F. M. Fazi, “Low frequency interactive auralization based on a plane wave expansion,” Applied Sciences, vol. 7, no. 6, p. 558, 2017.
[20] A. N. Tikhonov, “Solution of incorrectly formulated problems and the regularization method,” Soviet Math. Dokl., vol. 4, pp. 1035–1038, 1963.
[21] A. Nikolaevich Tikhonov, Solutions of ill-posed problems. New York: Halsted Press, 10 1977.
[24] K. Shin and J. Hammond, Fundamentals of signal processing for sound and vibration engineers. West Sussex, England: John Wiley & Sons, 2008.
dc.source.instname.spa.fl_str_mv Universidad de San Buenaventura - Medellín
dc.source.other.spa.fl_str_mv Biblioteca USB Medellín (San Benito) CD-4881t
dc.source.reponame.spa.fl_str_mv Biblioteca Digital Universidad de San Buenaventura
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spelling Comunidad Científica y AcadémicaMurillo Gómez, Diego Mauricioc4bc7d56-4166-4a66-82d3-7d6c4bf09d8c-1Murillo Gómez, Diego Mauriciovirtual::2332-1Pérez Jaramillo, Juan Sebastián2abde79e-fff5-4022-a92c-67fb0c7da3c5-1Vega Correa, Juan Sebastiánb745e2d9-b4fd-44fa-9c27-0ad9fc51a5d2-12018-10-03T14:43:36Z2018-10-03T14:43:36Z20182018-09-27The generation of personalized audio (Beamforming) requiers regularization processes to be viable in non-ideal conditions. The implementation of the Inverse Method could not be achieved because of its big amoung of energy consumption. Based on the above, this work tends to develop a comparison between different methods for the generation of Beamforming with the aim of finding pros and cons of each one of them. Using the software MATLAB a theoretical comparison was done taking into account parameters such as Acoustic Contrast, required energy and sound pressure level withing a given frequency range. That information was validated through a set of subjective tests in which there was taken into account parameters such as Acoustic Contrast, Frequency Response, sound pressure level and level of joy of each method with the subjects beeing interrogated. A numerical and statistical analysis was done in order to get some conclusions of the work in questionLa generación de audio personalizado (en este caso Beamforming) requiere procesos de regularización para poder ser viable en condiciones no ideales. La implementación del problema inverso no es posible dado a su poca eficiencia energética. La generación de un beam de sonido requiere grandes cantidades de energía acústica, haciendo inviable su implementación práctica. Tomando como referencia lo anterior este trabajo desarrolla una comparación de diferentes métodos para la generación de Beamforming con el fin de encontrar puntos en contra y a favor de cada uno de ellos. Por medio del software MATLAB se realizó dicha comparación teórica teniendo en cuenta el contraste acústico, energía requerida y la presión de cada método para cierto rango de frecuencias. Se validó esta información por medio de pruebas subjetivas en las cuales se tuvo en cuenta el contraste acústico, la respuesta en frecuencia, el nivel de presión sonora y la afinidad de cada método con los encuestados. Se analizó numérica y estadísticamente y se obtuvo conclusiones de las bondades de cada método.pdf104 páginasRecurso en lineaapplication/pdfReferencia/Reference Estilo/Style: IEEE (2014) [1] J. S. Pérez Jaramillo y J. S. Vega Correa, “Comparación de métodos analíticos para la generación de audio personalizado (beamforming)”,Trabajo de grado Ingeniería de Sonido, Universidad de San,Buenaventura Medellín, Facultad de Ingenierías, 2018.http://hdl.handle.net/10819/6260spaIngenieriasIngeniería de SonidoMedellín[22] F. Olivieri, F. M. Fazi, P. A. Nelson, M. Shin, S. Fontana, and L. Yue, “Theoretical and experimental comparative analysis of beamforming methods for loudspeaker arrays under given performance constraints,” Journal of Sound and Vibration, vol. 373, pp. 302–324, 2016.[23] F. Olivieri, M. Shin, F. M. Fazi, P. A. Nelson, and P. Otto, “Loudspeaker array processing for multi-zone audio reproduction based on analytical and measured electroacoustical transfer functions,” in Audio Engineering Society Conference: 52nd International Conference: Sound Field Control-Engineering and Perception, Audio Engineering Society, 2013.Atribución-NoComercial-SinDerivadas 2.5 ColombiaPor medio de este formato manifiesto mi voluntad de AUTORIZAR a la Universidad de San Buenaventura, Sede Bogotá, Seccionales Medellín, Cali y Cartagena, la difusión en texto completo de manera gratuita y por tiempo indefinido en la Biblioteca Digital Universidad de San Buenaventura, el documento académico-investigativo objeto de la presente autorización, con fines estrictamente educativos, científicos y culturales, en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión Andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre derechos de autor. Como autor manifiesto que el presente documento académico-investigativo es original y se realiza sin violar o usurpar derechos de autor de terceros, por lo tanto, la obra es de mi exclusiva autora y poseo la titularidad sobre la misma. La Universidad de San Buenaventura no será responsable de ninguna utilización indebida del documento por parte de terceros y será exclusivamente mi responsabilidad atender personalmente cualquier reclamación que pueda presentarse a la Universidad. Autorizo a la Biblioteca Digital de la Universidad de San Buenaventura convertir el documento al formato que el repositorio lo requiera (impreso, digital, electrónico o cualquier otro conocido o por conocer) o con fines de preservación digital. Esta autorización no implica renuncia a la facultad que tengo de publicar posteriormente la obra, en forma total o parcial, por lo cual podrá, dando aviso por escrito con no menos de un mes de antelación, solicitar que el documento deje de estar disponible para el público en la Biblioteca Digital de la Universidad de San Buenaventura, así mismo, cuando se requiera por razones legales y/o reglas del editor de una revista.http://creativecommons.org/licenses/by-nc-nd/2.5/co/http://purl.org/coar/access_right/c_abf2[1] Y. Kim and P. Nelson, “Optimal regularisation for acoustic source reconstruction by inverse methods,” Journal of sound and vibration, vol. 275, no. 3-5, pp. 463–487, 2004.[2] P. A. Nelson and S.-H. Yoon, “Estimation of acoustic source strength by inverse methods: Part i, conditioning of the inverse problem,” Journal of sound and vibration, vol. 233, no. 4, pp. 639–664, 2000.[3] F. Olivieri, F. M. Fazi, M. Shin, and P. Nelson, “Pressure-matching beamforming method for loudspeaker arrays with frequency dependent selection of control points,” in Audio Engineering Society Convention 138, Audio Engineering Society, 2015.[4] F. Olivieri, F. M. Fazi, P. A. Nelson, and S. Fontana, “Comparison of strategies for accurate reproduction of a target signal with compact arrays of loudspeakers for the generation of zones of private sound and silence,” Journal of the Audio Engineering Society, vol. 64, no. 11, pp. 905–917, 2016.[5] M. Shin, F. M. Fazi, P. A. Nelson, and J. Seo, “Control of velocity for sound field reproduction,” in Audio Engineering Society Conference: 52nd International Conference: Sound Field Control-Engineering and Perception, Audio Engineering Society, 2013.[6] M. Song, S.-H. Baek, S.-P. Lee, and H.-G. Kang, “Constrained-optimized sound beamforming of loudspeaker-array system,” in Audio Engineering Society Convention 125, Audio Engineering Society, 2008.[7] K. Watanabe, A. Yasuda, H. Ohtani, R. Suzuki, N. Shinkawa, T. Tsuchiya, and K. Tsuihiji, “A novel beam-forming loudspeaker system using digitally driven speaker system,” in Audio Engineering Society Convention 127, Audio Engineering Society, 2009[8] M. Iwaide, A. Yasuda, D. Kuniyoshi, K. Yokota, Y. Moriyasu, K. Sakuta, F. Nakashima, Y. Masayuki, and M. Yoshino, “A novel sharp beam-forming flat panel loudspeaker using digitally driven speaker system,” in Audio Engineering Society Convention 131, Audio Engineering Society, 2011.[9] M. Poletti and T. Betlehem, “Design of a prototype variable directivity loudspeaker for improved surround sound reproduction in rooms,” in Audio Engineering Society Conference: 52nd International Conference: Sound Field Control-Engineering and Perception, Audio Engineering Society, 2013.[10] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, “Intelligent acoustic interfaces for immersive audio,” in Audio Engineering Society Convention 134, Audio Engineering Society, 2013.[11] T. Koski, F. Fazi, and V. Pulkki, “Beamformer performance in sound fields produced by amplitude panning,” in Audio Engineering Society Conference: 55th International Conference: Spatial Audio, Audio Engineering Society, 2014.[12] S. Delikaris-Manias and V. Pulkki, “Parametric spatial filter utilizing dual beamformer and snrbased smoothing,” in Audio Engineering Society Conf[13] J. Xie, S. Yoo, and K. Jain, “A low computational complexity beamforming scheme concatenated with noise cancellation,” in Audio Engineering Society Convention 140, Audio Engineering Society, 2016.[14] T. Ramanana, P.-A. Gauthier, A. Bolduc, and A. Berry, “Sound reproduction by beamforming capture and wave field synthesis,” in Audio Engineering Society Conference: 55th International Conference: Spatial Audio, Audio Engineering Society, 2014.[15] D. Ochoa Plaza and S. Sierra Vargas, “Construcción de un arreglo de altavoces y su aplicación en audio personalizado (beamforming),” 2017.[16] F. Fahy and J. Walker, Fundamentals of noise and vibration. London: CRC Press, 1998.[17] G. H. Golub and C. Reinsch, “Singular value decomposition and least squares solutions,” in Linear Algebra, pp. 134–151, Springer, 1971.[18] T. S. Shores, Applied linear algebra and matrix analysis. New York: Springer Science & Business Media, 2007.[19] D. M. M. Gómez, J. Astley, and F. M. Fazi, “Low frequency interactive auralization based on a plane wave expansion,” Applied Sciences, vol. 7, no. 6, p. 558, 2017.[20] A. N. Tikhonov, “Solution of incorrectly formulated problems and the regularization method,” Soviet Math. Dokl., vol. 4, pp. 1035–1038, 1963.[21] A. Nikolaevich Tikhonov, Solutions of ill-posed problems. New York: Halsted Press, 10 1977.[24] K. Shin and J. Hammond, Fundamentals of signal processing for sound and vibration engineers. 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