  In the field of audio and speech analysis, the ability to identify emotions
from acoustic signals is essential. Human-computer interaction (HCI) and
behavioural analysis are only a few of the many areas where the capacity to
distinguish emotions from speech signals has an extensive range of
applications. Here, we are introducing BanSpEmo, a corpus of emotional speech
that only consists of audio recordings and has been created specifically for
the Bangla language. This corpus contains 792 audio recordings over a duration
of more than 1 hour and 23 minutes. 22 native speakers took part in the
recording of two sets of sentences that represent the six desired emotions. The
data set consists of 12 Bangla sentences which are uttered in 6 emotions as
Disgust, Happy, Sad, Surprised, Anger, and Fear. This corpus is not also gender
balanced. Ten individuals who either have experience in related field or have
acting experience took part in the assessment of this corpus. It has a balanced
number of audio recordings in each emotion class. BanSpEmo can be considered as
a useful resource to promote emotion and speech recognition research and
related applications in the Bangla language. The dataset can be found here:
https://data.mendeley.com/datasets/rdwn4bs5ky and might be employed for
academic research.
