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Pycon 2018
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Del 9 al 11 de febrero se desarrolló la segunda versión de la Pycon en Colombia. Tuve la fortuna de ganar una beca para asistir a la conferencia, no conocía mucho sobre el evento pero me llamó la atención algunas charlas sobre audio y machine learning ya que aunque soy ingeniero de sonido, una de mis pasiones es programar además de la inteligencia artificial. Es un poco difícil resumir en este escrito lo ocurrido en 3 dias llenos de aprendizaje y compartir, a continuación, haré un resumen por días de mi recorrido en la conferencia. Este representa mi experiencia, ya que al existir charlas y talleres simultáneos, cada quien elige su agenda y por la tanto su experiencia es única.
Welcome
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Hi, I’ll be sharing some of my ideas, works and thoughts trough this blog. I’ll write in spanish and english because there’s little information about these topics in spanish and my goal is to share my knowledge. The rest of this page is in english for academic and professional purposes. Hope that you enjoy my posts.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Automatic Sound event recognition of traffic and community noise
Published in Universidad de San Buenaventura, 2017
Audio content analysis of real world recordings instead of common SPL measures is proposed as a technique for environmental noise evaluation. However, because of the large quantity of data that a monitoring system produces an automatic sound event algorithm was built using audio descriptors as MFCC, spectral centroid, zcr and roll off coupled with a supervised learning approach with SVM
Recommended citation: Giraldo, Jose. (2017). "Automatic Sound event recognition of traffic and community noise." Universidad de San Buenaventura. 1(1). http://bibliotecadigital.usb.edu.co/bitstream/10819/4431/1/Identificacion_Automatica_Eventos_Giraldo_2017.pdf
Calibration of low-cost sound level meters using machine learning techniques(Abstract accepted)
Published in The Journal of the Acoustical Society of America, 2018
the use of reinforcement learning techniques is explored to calibrate the sound pressure levels generated by a low-cost monitoring device using a class one sound level meter as reference in a continuous measurement setup.
Recommended citation: Giraldo, Jose. (2018). "Calibration of low-cost sound level meters using machine learning techniques." The Journal of the Acoustical Society of America. 1(1). https://asa.scitation.org/doi/10.1121/1.5036424
Big Data Analysis and Machine Learning Techniques to Answer New Demands on Long Term Monitoring Noise Analysis
Published in Internoise-Madrid, 2019
This paper presents the combination of different noise monitoring systems (conventional and low-cost), combined with data analysis procedures to manage the big amount of data coming from long term acoustic monitoring in real world cases. Signal processing and machine learning techniques are used to solve higher requirements in noise monitoring. Direct measurements are difficult and expensive for many situations due to non-permanent sources in urban areas and conventional monitoring systems just giving noise levels information are not enough to identify the noise sources along time
Recommended citation: Big Data Analysis and Machine Learning Techniques to Answer New Demands on Long Term Monitoring Noise Analysis Bañuelos-Arteagoitia, Oier; Giraldo-Valencia, José Omar; Bañuelos-Irusta, Alberto; Gómez-Arteagoitia, Aritz http://www.sea-acustica.es/fileadmin/INTERNOISE_2019/Fchrs/Proceedings/1749.pdf
talks
Acondicionamiento acústico para home studios
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Deep Learning Music
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.