Tonal description of music audio signals
Tonal description of music audio signals
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发表时间：
2006-07
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通讯作者：
E. Gutiérrez
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作者：
E. Gutiérrez
这篇博士论文提出并评估了一种计算方法，用于从分析复调音频信号中自动描述音乐的音调方面。这些算法主要集中在音高分布描述符的计算、乐曲基调的估计、其音调中心演变的可视化或两个不同乐曲之间相似性的测量。本论文对计算音调描述领域做出了重大贡献：a）提供了音调归纳系统的多学科综述; B）定义了一组对低层音调特征的要求; c）对所提出的方法进行了定量和模块化的评估; d）在不需要完美转录的情况下，弥补了音频和符号导向方法之间的差距; e）它将处理古典音乐的当前文献扩展到其他音乐流派; f）它显示了音调描述符对于音乐相似性的有用性; g）它提供了一种优化的方法，该方法用于真实的系统中用于音乐可视化和检索，与超过一百万的音乐作品一起工作。
This doctoral dissertation proposes and evaluates a computational approach for the automatic description of tonal aspects of music from the analysis of polyphonic audio signals. These algorithms focus on the computation of pitch class distributions descriptors, the estimation of the key of a piece, the visualization of the evolution of its tonal center or the measurement of the similarity between two different musical pieces. This dissertation substantially contributes to the field of computational tonal description: a) It provides a multidisciplinary review of tonal induction systems; b) It defines a set of requirements for low-level tonal features; c) It provides a quantitative and modular evaluation of the proposed methods; d) It contributes to bridge the gap between audio and symbolic-oriented methods without the need of a perfect transcription; e) It extents current literature dealing with classical music to other musical genres; f) It shows the usefulness of tonal descriptors for music similarity; g) It provides an optimized method which is used in a real system for music visualization and retrieval, working with over a million of musical pieces.