This paper proposes an online model adaptation algorithm based on a confidence measure for music segmentation applications.
本文提出了一种基于置信测度的自适应模型适配算法用于音乐分割。
The team used music to help study the brain's attempt to make sense of the continual flow of information the real world generates, a process called event segmentation.
该研究小组利用音乐来帮助研究大脑如何赋予现实世界产生的连续信息流以明确意义。这一过程称为事件分割。
It aims to resolve problems such as sound segregation, segmentation, sound event and source characterization, auditory scene analysis and music analysis, etc.
它主要被用来解决声音分离、分割、声音事件和声音源的刻划及表征、听觉场景分析和音乐分析等问题。
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