基于人工智能技术的民乐作曲应用与研究

Lianshun Liu
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引用次数: 0

摘要

音乐是人类情感表达的重要形式之一。利用人工方法和技术,让机器快速识别光学乐谱和实时音乐声音,通过对音乐情感模型的推理和优化,获得人类音乐情感表达模式,并积极完成人机协作与智能作曲等相关服务。情感人工智能多源感知的发展具有重要的研究价值和现实意义。本文主要集成现有人工智能模型的多个模型(类型化音乐模型、马尔可夫链模型、遗传算法模型、神经网络模型等),完善规则知识,形成实用有效的混合模型。它的创新之处在于结合公式和矩阵数据组合,在自动作曲中智能地创作非音符单元(再现结构),从而达到音乐的和谐、可听性和智能化。
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Application and Research of Folk Music Composition Based on Artificial Intelligence Technology
Music is one of the important forms of human emotion expression. Using artificial methods and technologies to allow the machine to quickly identify optical scores and real-time music sounds, through the inference and optimization of music emotion models, obtain human music emotion expression patterns, and actively complete human-machine collaboration with intelligent composition, and other related services. The development of multi-source perception of affective artificial intelligence has important research value and practical significance. This article mainly integrates multiple models of existing artificial intelligence models (typed music models, Markov chain models, genetic algorithm models, neural network models, etc.) to improve the rule knowledge to form a practical and effective hybrid model. Its innovation lies in combining formulas and matrix data combinations to intelligently compose non-note units (reproducing structures) in automatic composition, so as to achieve harmony, audibility and intelligence of music.
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