音乐信息检索技术确定音乐演绎的原产地

Tomas Kiska, Z. Galaz, Vojtech Zvoncak, Jan Mucha, J. Mekyska, Z. Smékal
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引用次数: 2

摘要

确定音乐作品的原产地是音乐信息检索(MIR)领域的一个现代研究领域。对一首作品的音乐诠释承载着作者的多种意图,这些意图会影响最终作品的音乐特征。这些方面可能包括节奏、动态、音色或调性。本文介绍了一种基于先进信号处理和机器学习技术的新方法,用于确定音乐解释的起源。为此,我们收集了利奥斯·雅纳切克(leo Janacek)第一弦乐四重奏“Kreutzer Sonat”:IV. Con Moto-Adagio的35种不同的解读数据库。使用随机森林分类器,我们使用mel频率倒谱系数衍生的特征实现了97%以上的分类准确率。本文证明了用核磁共振成像来确定音乐解释的起源具有很高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonality. This paper introduces a novel methodology for determining the place of origin of a music interpretation based on advanced signal processing and machine learning techniques. For this purpose, we collected a database of 35 different interpretations of Leos Janacek's String Quartet No.1, “Kreutzer Sonat”: IV. Con Moto-Adagio. Employing random forests classifier, we achieved classification accuracy over 97 % using features derived from Mel-frequency cepstral coefficients. This paper proves it is possible to use MRI for determining the origin of a music interpretation with very high accuracy.
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