Audio Features for Music Emotion Recognition: A Survey
Audio Features for Music Emotion Recognition: A Survey
复制标题
音乐情感识别的音频特征：调查
DOI：
--
复制
发表时间：
2020
影响因子：
11.2
通讯作者：
Rui Pedro Paiva
中科院分区：
文献类型：
--
作者：
R. Panda;R. Malheiro;Rui Pedro Paiva
设计有意义的音频特征是推动音乐情感识别技术发展的关键。本文在音乐心理学文献的支持下，对现有的与情感相关的计算音频特征进行了调查，研究了八个音乐维度（旋律、和声、节奏、动态、音色、表现力、织体和形式）与特定情感之间的关系。在此基础上，指出了当前的差距和需求，并提出了MER特征工程未来研究的策略，即需要进一步研究的捕获音乐形式、纹理和表现力元素的计算音频特征的想法。先前的市场营销调查提供了广泛的评论，涵盖了诸如情感范式，收集基本事实数据的方法，市场营销问题的类型以及概述不同的市场营销系统等主题。相反，我们的方法是对一个关键的MER问题进行深入而具体的回顾：与情感相关的音频功能的设计。
The design of meaningful audio features is a key need to advance the state-of-the-art in music emotion recognition (MER). This article presents a survey on the existing emotionally-relevant computational audio features, supported by the music psychology literature on the relations between eight musical dimensions (melody, harmony, rhythm, dynamics, tone color, expressivity, texture and form) and specific emotions. Based on this review, current gaps and needs are identified and strategies for future research on feature engineering for MER are proposed, namely ideas for computational audio features that capture elements of musical form, texture and expressivity that should be further researched. Previous MER surveys offered broad reviews, covering topics such as emotion paradigms, approaches for the collection of ground-truth data, types of MER problems and overviewing different MER systems. On the contrary, our approach is to offer a deep and specific review on one key MER problem: the design of emotionally-relevant audio features.