BanglaSER: A Bangla speech emotion recognition dataset

It consists of speech-audio data of 34 participating speakers from diverse age groups between 19 and 47 years, with a balanced 17 male and 17 female nonprofessional participating actors. This dataset contains 1467 Bangla speech-audio recordings of five rudimentary human emotional states, namely angry, happy, neutral, sad, and surprise.

Three trials are conducted for each emotional state. Hence, the total number of recordings involves 3 statements × 3 repetitions × 4 emotional states (angry, happy, sad, and surprise) × 34 participating speakers = 1224 recordings + 3 statements × 3 repetitions × 1 emotional state (neutral) × 27 participating speakers = 243 recordings, making the total number of recordings of 1467. BanglaSER dataset is collected by recording through smartphones, and laptops, having a balanced number of recordings in each category with evenly distributed participating male and female actors, preserves the real-life environment, and would serve as an essential training dataset for the speech emotion recognition model in terms of generalization.