SART3D: A MATLAB toolbox for spatial audio and signal processing education

Abstract

Signal processing courses form usually a common block within the curriculum of electrical engineering and computer science undergraduate studies. While signal processing is the science behind many technologies used in our everyday life, students usually feel that the practical use of signal processing subjects is obscured due to their intensive theoretical perspective. In this context, audio signal processing is a discipline where many general signal processing concepts can be easily experienced with sound. Specifically, spatial audio, i.e., the manipulation of audio signals with the aim of capturing and/or recreating the spatial impression of sound, provides an excellent and appealing application framework for signal processing education. This paper presents SART3D, an open‐source MATLAB toolbox that facilitates spatial audio and signal processing education by enabling students to focus on the implementation and testing of core algorithms and to experience their own results using real‐time processing. The time required for other nonrelevant aspects, such as hardware and driver set‐up or user interaction, is significantly reduced. Experience evaluated throughout four academic years and 45 students (25% female) indicate they felt particularly engaged when SART3D was included in the course, improving their performance and understanding of the subject. In this context, the four factors defined by the Student Course Engagement Questionnaire (skills, emotional, participation, and performance) were analyzed to assess engagement in its multiple dimensions.

Music Processing Experiment with Python Notebook and IoT App

“…Foi validado com 45 estudantes por meio de um questionário sobre diferentes aspectos como habilidades, emoção, participação e desempenho. O uso da ferramenta aumentou o engajamento dos alunos, seu desempenho e entendimento sobre o assunto [5].…”

Interactive lecture notes for structural dynamic analysis in frequency domain = Apuntes de clase interactivos para el análisis de la dinámica estructural en el dominio de la frecuencia

“…Among all the above-mentioned learning techniques, the integration of specific software for mathematical analysis as MATLAB [8], Mathematica or Maple having been using as an essential tool for engineering teaching [9]. Even though, this software is becoming more relevant nowadays, the benefits of classical lectures and student notetaking processes are widely recognized.…”

Öğrencilere Montaj Hattı Dengeleme Tekniklerini Öğretmek için Bir Problem Çözme Ortamı

“…Some of these programs are also web-based software (Robinson and Carmical, 2005). These educational programs have been used effectively for teaching activities in many engineering field such as mining engineering (Akkoyun, 2011;Akkoyun, 2017), computer science engineering (Barua, 2001;Ochoa et al, 2003;Berenguel et al, 2016), control engineering (Rampazzo et al, 2017;Mendez et al, 2006;Aliane, 2010), chemical engineering (Schmid and Ali, 2000;Johnson and Singh, 2019;Binous and Shaikh, 2015), fluid mechanics (Pieritz et al, 2004), electrical and electronics engineering (Zavalani, 2015;Cobos and Roger, 2019), metallurgy (Ong and Mannan, 2002), optimization (MacDonald, 1995;Lazaridis et al, 2007) and industrial engineering (Lau et al, 2006;Baykasoğlu et al, 2017).…”