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相关概念视频

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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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...
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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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相关实验视频

Updated: Jun 11, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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钢琴表演评估数据集具有多层次的感知特征.

Jisoo Park1, Jongho Kim2, Jeong Mi Park3

  • 1Graduate School of Data Science, Seoul National University, Seoul, 08826, Korea.

Scientific reports
|October 3, 2024
PubMed
概括

本研究介绍了PercePiano,这是一个用于自动评估钢琴演奏的新型数据集. 它捕捉了细微的音乐表达和感知,使得更准确和更符合人类的评估.

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相关实验视频

Last Updated: Jun 11, 2025

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Published on: March 1, 2022

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科学领域:

  • 音乐信息检索 音乐信息检索
  • 计算音乐学 计算音乐学
  • 人与计算机的交互

背景情况:

  • 评估钢琴表演需要评估表达品质,而不仅仅是准确性.
  • 现有的数据集缺乏全面的功能,用于细微的性能分析.
  • 音乐感知中的主观性对自动化评估构成了重大挑战.

研究的目的:

  • 为自动钢琴表演评估开发一个全面的数据集.
  • 将感知特征和专家注释纳入细微的音乐分析.
  • 建立一个基准来评估基于人类感知的钢琴表演.

主要方法:

  • 创建PercePiano数据集,由音乐专家进行注释.
  • 包括感知特征反映表达性的音乐品质.
  • 开发一种新的评估指标,以考虑感知主观性.
  • 提议一个增强的基线框架,使模型预测与人类感知保持一致.

主要成果:

  • "PercePiano"数据集有效地捕捉了钢琴演奏的细微方面.
  • 这种新型指标证明了它适用于主观感知评估.
  • 改进的基线框架显示了性能和适应性改善.
  • 对齐的特征显著提高了基线模型与人类感知相匹配的能力.

结论:

  • 珀斯皮亚诺数据集为推进自动钢琴表演评估提供了一个开创性的资源.
  • 提出的方法和指标有助于更准确和感知基础的评估.
  • 这项研究为在自动化系统中理解和评估音乐表达开辟了新的途径.