Encompassing speech audio samples annotated for emotional content in the Urdu language. It is designed for tasks in emotion recognition and spoken language processing. The specific number of audio files, features, and rows is unknown.
Use Cases
- Train an emotion recognition model on Urdu speech audio samples to classify emotional states.
- Analyze acoustic features from Urdu speech data for cross-lingual emotion recognition research.
- Build a speech recognition system for Urdu using audio data tagged for natural language processing tasks.
Strengths
- Focuses on the Urdu language, which is a less-resourced language in speech processing.
- Annotated for emotion recognition, a specific and complex task in audio analysis.
Limitations
- The dataset size, number of samples, and audio quality are unknown, limiting assessment of its scope.
- Lack of column and feature details prevents understanding of the data structure and available attributes.
Provenance
- Source
- GitHub
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null