Playing Fast and Loose with Music Recognition

Playing Fast and Loose with Music Recognition
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快速轻松地使用音乐识别

DOI:
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发表时间:
2017
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
A. Chamberlain
A. Chamberlain
中科院分区:
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文献类型:
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作者:
C. Greenhalgh;S. Benford;Adrian Hazzard;A. Chamberlain

文献摘要

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我们报告了迭代开发音乐识别系统的经验教训,使广泛的音乐家能够将音乐代码嵌入到他们的典型表演实践中。这位音乐家创作的音乐片段可以通过不同程度的修饰、伪装和松散来触发数字互动。我们与23名音乐家合作,从专业人士到业余爱好者,使用各种乐器。我们绘制了该系统的快速发展图,以满足他们的需求,因为他们努力将音乐识别技术整合到他们的表演实践中,引入了多种功能,使他们能够在音乐表达的可靠性之间进行权衡。总体而言,这些支持通过解决控制、反馈和协调这三个关键挑战,故意在交互系统中引入“松散”的想法,并强调了书面符号在其他基于识别的系统中的潜在作用。
We report lessons from iteratively developing a music recognition system to enable a wide range of musicians to embed musical codes into their typical performance practice. The musician composes fragments of music that can be played back with varying levels of embellishment, disguise and looseness to trigger digital interactions. We collaborated with twenty-three musicians, spanning professionals to amateurs and working with a variety of instruments. We chart the rapid evolution of the system to meet their needs as they strove to integrate music recognition technology into their performance practice, introducing multiple features to enable them to trade-off reliability with musical expression. Collectively, these support the idea of deliberately introducing "looseness" into interactive systems by addressing the three key challenges of control, feedback and attunement, and highlight the potential role for written notations in other recognition-based systems.