Hierarchical transformer speech depression detection model research based on Dynamic window and Attention merge
Depression Detection of Speech is widely applied due to its ease of acquisition and imbuing with emotion.However, there exist challenges in effectively segmenting and integrating depressed speech segments.Multiple merges can also lead to blurred original information.These problems diminish the effectiveness of existing models.This article proposes