协调思想和机器:关于机器学习在音乐中的变革力量的调查
1Department of Music, Zhumadian Preschool Education College, Henan, China.
Frontiers in neurorobotics
|November 29, 2023
概括
机器学习 (ML) 和人工智能 (AI) 正在彻底改变音乐创作和分析. 这项调查详细介绍了当前在音乐领域的AI应用,并预测了未来的跨学科进步.
科学领域:
- 音乐 技术 音乐 技术
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 探索音乐和技术的历史交叉点.
- 详细介绍了机器学习 (ML) 应用在音乐分析和创作中的演变.
研究的目的:
- 调查音乐行业ML的当前状态和未来潜力.
- 检查ML在音乐信息检索,转录,推和作曲中的作用.
主要方法:
- 关于音乐中的ML算法的文献综述.
- 分析当前的应用,如机器学习辅助的生产和情感驱动的生成.
主要成果:
- ML越来越多地融入到音乐分析,创作和制作中.
- 最先进的算法正在增强音乐信息检索,转录,推和组成.
结论:
- 机器学习和人工智能拥有巨大的潜力,可以彻底改变音乐格局.
- 预计将在音乐的ML中进行进一步的探索和进步,有望在各个领域进行更深入的整合.
相关概念视频
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The study of music provides many examples of the superposition of waves and the constructive and destructive interference that occurs. Very few examples of music being performed consist of a single source playing a single frequency for an extended period of time. A single frequency of sound for an extended period might be monotonous to the point of irritation, similar to the unwanted drone of an aircraft engine or a loud fan. Music is pleasant and exciting due to mixing the changing frequencies...
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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
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