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English(EN) From local kernels to global form: modeling the emergence of musical content

新的马尔可夫模型技术分析德彪西《Syrinx》中的音乐结构

研究人员开发了一种估计马尔可夫模型中转移核的新颖方法,利用重叠滑动窗口直接从符号序列中导出局部核。这种由观察驱动的方法在德彪西的《Syrinx》上进行了测试,并将其性能与A-B-A'读法进行了比较。研究发现,在窗口大小L=6时,绝对音高和记谱时值核都达到了它们的Jensen-Shannon最大值,尽管时值平台比音高平台窄得多。涉及再合成的进一步实验量化了与源材料的偏差。 AI

排序理由 该条目描述了一种使用马尔可夫模型分析符号音乐的新方法,该方法在一篇研究论文中提出。[lever_c_demoted from research: ic=1 ai=0.4]

在 Hugging Face Daily Papers 阅读 →

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新的马尔可夫模型技术分析德彪西《Syrinx》中的音乐结构

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该条目描述了一种使用马尔可夫模型分析符号音乐的新方法,该方法在一篇研究论文中提出。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    从本地内核到全球形态:音乐内容涌现的建模

    Markov models are established tools for symbolic music, including non-homogeneous formulations. The narrower contribution examined here is an observation-driven estimation mechanism: overlapping sliding windows derive a trajectory of local transition kernels from one symbolic seq…