  Speech emotion recognition is a vital contributor to the next generation of
human-computer interaction (HCI). However, current existing small-scale
databases have limited the development of related research. In this paper, we
present LSSED, a challenging large-scale english speech emotion dataset, which
has data collected from 820 subjects to simulate real-world distribution. In
addition, we release some pre-trained models based on LSSED, which can not only
promote the development of speech emotion recognition, but can also be
transferred to related downstream tasks such as mental health analysis where
data is extremely difficult to collect. Finally, our experiments show the
necessity of large-scale datasets and the effectiveness of pre-trained models.
The dateset will be released on https://github.com/tobefans/LSSED.
