音乐模仿学习音频处理

Rutuja Ekatpure, Suprabha Jadhav, Kalind Karia, K. Arya
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摘要

基于项目的学习(PBL)被广泛用于促进深度学习,增强批判性思维,帮助学生针对各种问题创建,构建和批判性评估设计解决方案。e-Yantra是印度理工学院孟买分校的一项倡议,每年为大学生举办一次e-Yantra机器人竞赛(eYRC)。通过选拔测试的队伍将进行为期五个月的比赛。由832名学生组成的208个小组被分配了一个主题。“主题”可以被视为“硬件MOOC”,通过单人游戏模式教授技能。本文描述了在第7版(eYRC-2018)中实现的方法,其中我们设计了一个基于音频处理和机器学习的“主题”。一个重要的贡献是展示了如何通过使用自动评估来设计一个“可伸缩”的主题,使其与其他主题相比具有独特性。本文概述了为竞赛设计的任务,并描述了技术如何支持学生在主题上工作,从而保持动机和思想。然后,我们根据团队的表现分析我们的方法的有效性。
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Musical Mimicry to Learn Audio Processing
Project-Based Learning (PBL) is widely used to promote deep learning, enhance critical thinking, help students create, build and critically evaluate design solutions to a variety of problems. e-Yantra is an initiative by IIT Bombay that conducts an annual e-Yantra Robotics Competition (eYRC) for college students. Teams who qualify selection test compete over a period of five months. 208 such teams comprising 832 students were alloted one of the themes. A "theme" may be regarded as a "hardware MOOC" where skills get taught through a singleplayer gaming paradigm. This paper describes the methodology implemented in the 7th edition (eYRC-2018), where we designed a "theme" based on Audio processing and Machine Learning. An important contribution has been to show how to design a "scalable" theme by using automatic evaluation that made it unique compared to other themes. This paper outlines the tasks designed for the competition and describes how technology can support students as they work on a theme so that motivation and thoughts are sustained. We then analyze the effectiveness of our approach based on the performance of teams.
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