  The ACII Affective Vocal Bursts (A-VB) competition introduces a new topic in
affective computing, which is understanding emotional expression using the
non-verbal sound of humans. We are familiar with emotion recognition via verbal
vocal or facial expression. However, the vocal bursts such as laughs, cries,
and signs, are not exploited even though they are very informative for behavior
analysis. The A-VB competition comprises four tasks that explore non-verbal
information in different spaces. This technical report describes the method and
the result of SclabCNU Team for the tasks of the challenge. We achieved
promising results compared to the baseline model provided by the organizers.
