论文标题
OK计算机分析：Radiohead的音频语料库研究
OK Computer Analysis: An Audio Corpus Study of Radiohead
论文作者
论文摘要
音乐信息检索技术在流行音乐研究中的应用有很大的希望。在目前的工作中，从1992年到2017年的职业生涯中，Radiohead歌曲的语料库进行了自动分析。我们从许多粒度和观点中检查了发现，包括在歌曲中以及在音色节奏和谐波特征的歌曲检查之间。按时间顺序变化包括对乐队发行版的职业生涯可能跨越的效果，例如速度放缓和亮度降低，以及Radiohead扩展的方法的音色标记，以与孩子A和健忘症时代最能识别的器乐资源。最后，我们的讨论强调了这种方法的一些挑战，以及基于音频文件的职业分析领域的潜力。
The application of music information retrieval techniques in popular music studies has great promise. In the present work, a corpus of Radiohead songs across their career from 1992 to 2017 are subjected to automated audio analysis. We examine findings from a number of granularities and perspectives, including within song and between song examination of both timbral-rhythmic and harmonic features. Chronological changes include possible career spanning effects for a band's releases such as slowing tempi and reduced brightness, and the timbral markers of Radiohead's expanding approach to instrumental resources most identified with the Kid A and Amnesiac era. We conclude with a discussion highlighting some challenges for this approach, and the potential for a field of audio file based career analysis.
