情绪流动建模：基于层次注意力网络的声音轨迹分类

Conventional Vocal biomarkers have quantifiable correlates of mental health, and talk is a convenient and noninvasive indicator of mental health. The majority of the existing systems, though, consider every voice recording as a single observation and generate one emotional label per utterance instead of monitoring the temporal dynamics in the affective state. A single-point method is unable to reflect the changes in mood direction that have the most clinical implications a days-long change in emotional valence is much more informative than a single reading, but existing architectures do not su