The human brain, among its several functions, analyzes the double
articulation structure in spoken language, i.e., double articulation analysis
(DAA). A hierarchical structure in which words are connected to form a sentence
and words are composed of phonemes or syllables is called a double articulation
structure. Where and how DAA is performed in the human brain has not been
established, although some insights have been obtained. In addition, existing
computational models based on a probabilistic generative model (PGM) do not
incorporate neuroscientific findings, and their consistency with the brain has
not been previously discussed. This study compared, mapped, and integrated
these existing computational models with neuroscientific findings to bridge
this gap, and the findings are relevant for future applications and further
research. This study proposes a PGM for a DAA hypothesis that can be realized
in the brain based on the outcomes of several neuroscientific surveys. The
study involved (i) investigation and organization of anatomical structures
related to spoken language processing, and (ii) design of a PGM that matches
the anatomy and functions of the region of interest. Therefore, this study
provides novel insights that will be foundational to further exploring DAA in
the brain.

本研究基于多项神经科学调查结果，设计了一个基于概率生成模型的双关节语音分析假设模型，并探讨了它在人脑中的实现方式，为进一步探索大脑中双关节语音分析提供了重要的基础。