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:
this https URL and might be employed for
academic research.

在音频和语音分析领域，从声音信号中识别情绪是关键的。我们介绍了 BanSpEmo，这是一个仅包含音频录音的情感语音语料库，专门用于孟加拉语。该语料库包含 792 个音频录音，持续时间超过 1 小时 23 分钟。22 名本地说话者参与了两组代表六种期望情绪的句子录制。该数据集由 12 个孟加拉语句子组成，以 6 种情绪（厌恶、快乐、悲伤、惊讶、愤怒和恐惧）进行表达。BanSpEmo 是一个有用的资源，可以促进孟加拉语情绪和语音识别研究以及相关应用的发展。该数据集可在此处找到：此 https 网址，并可用于学术研究。