Bangla Speech Personality Traits Data

The different prominences of the collected data are given shortly: Data Types: Audio Data size: 1750 (speech-text-phase), 1000 (speech-base-phase) Linguistic diversity: Short text Audio capturing quality: 44.1 KHz, Mono We created a new personality traits dataset for our research work because there is a noticeable absence of datasets for automatically assessing personality from Bangla Speech. This data, processed with Machine Learning models, demonstrated that different personality produce varying magnitudes at different frequencies, exhibiting distinct patterns.所收集数据的显著特征简述如下： 数据类型：音频 数据规模：1750（语音-文本-阶段），1000（语音-基础-阶段） 语言多样性：简短文本 音频捕捉质量：44.1 kHz，单声道 鉴于在自动评估孟加拉语语音个性方面，现有数据集存在显著不足，我们为研究工作创建了一个人格特质数据集。经过机器学习模型的处理，该数据表明，不同的人格特质在不同频率下产生不同程度的幅度，展现出独特的模式。