Mt-USAE Dataset
Abstract
The Multi-tone Urdu Speech Audio Emotion (Mt-USAE) dataset was developed using a group of 20 speakers. This group contains a 50:50 ratio of male and female participants. The age of each participant was between 20 to 40 years. The diversity in age and gender demographics reflects the typical linguistic variations within the Urdu-speaking population. The selection criteria ensured a balanced representation in terms of age, gender, and regional accents to capture the rich emotional expression characteristics.
Fields of Study & Subjects
Emotion and Mood Recognition
Speech Recognition and Synthesis
Speech and Audio Processing
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 4 February 2026
- Document type
- Dataset