用情绪向量量化即兴演奏的情感含量，评估爵士创作力。
Emovectors: assessing emotional content in jazz improvisations for creativity evaluation
- 基于心理感知的音乐特征构建情绪嵌入向量
- 情感内容越丰富，越被认定为具有创造性
- 适合评估生成模型的创作质量，可扩展至大规模分析
即兴演奏是创造力的实时展现。在爵士乐中，演奏者常基于预设和弦进行即兴发挥。如何评估即兴演奏的创造性？能否为当前基于大语言模型的生成系统建立自动化创造力指标？情感投入与即兴创作力密切相关。通过分析音频，能否检测情感参与度？本研究假设：若即兴演奏包含更多情感驱动的内容，则更可能被视为具有创造性。为此，提出一种基于嵌入的方法，利用与情绪相关的心理基础音乐特征分类，捕捉即兴演奏中的情感内容，生成“emovectors”。通过多段即兴演奏的对比分析，验证该假设。以可量化的形式捕捉情感内容，有助于构建可规模化应用的创造力评价新指标。
原文摘要 · Abstract (English)
Music improvisation is fascinating to study, being essentially a live demonstration of a creative process. In jazz, musicians often improvise across predefined chord progressions (leadsheets). How do we assess the creativity of jazz improvisations? And can we capture this in automated metrics for creativity for current LLM-based generative systems? Demonstration of emotional involvement is closely linked with creativity in improvisation. Analysing musical audio, can we detect emotional involvement? This study hypothesises that if an improvisation contains more evidence of emotion-laden content, it is more likely to be recognised as creative. An embeddings-based method is proposed for capturing the emotional content in musical improvisations, using a psychologically-grounded classification of musical characteristics associated with emotions. Resulting 'emovectors' are analysed to test the above hypothesis, comparing across multiple improvisations. Capturing emotional content in this quantifiable way can contribute towards new metrics for creativity evaluation that can be applied at scale.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。