KBES: A dataset for realistic Bangla speech emotion recognition with intensity level.

ABSTRACT: Speech Emotion Recognition (SER) identifies and categorizes emotional states by analyzing speech signals. SER is an emerging research area using machine learning and deep learning techniques due to its socio-cultural and business importance. An appropriate dataset is an important resource for SER related studies in a particular language. There is an apparent lack of SER datasets in Bangla language although it is one of the most spoken languages in the world. There are a few Bangla SER datasets but those consist of only a few dialogs with a minimal number of actors making them unsuitable for real-world applications. Moreover, the existing datasets do not consider the intensity level of emotions. The intensity of a specific emotional expression, such as anger or sadness, plays a crucial role

SUBMITTER: Billah MM 

PROVIDER: S-EPMC10641593 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature