BAAD: A multipurpose dataset for automatic Bangla offensive speech recognition.

ABSTRACT: In spite of being the fifth most spoken native language in the world, Bangla has barely received any attention in the domain of audio and speech recognition. This article represents a speech dataset of Bengali Abusive Words with some non-abusive wors which are very close to the abusive ones. In this work, a multipurpose dataset is presented to recognize automatic slang speech for Bangla language, which was prepared by collection, annotation, and refinement of data. It consists of 114 slang words and 43 non-slang words with 6100 audio clips. For the collection of slang words, 60 native speakers and for non-abusive words, 23 native speakers participated who were, speaking in various dialects from over 20 districts of Bangladesh, and 10 university students participated to evaluate this datase

SUBMITTER: Hossain MF 

PROVIDER: S-EPMC10070523 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature