nkululeko

What problem does it solve?

Nkululeko addresses the complexity of conducting machine learning experiments for speaker characteristic detection, simplifying the process from raw data to trained model and evaluation.

Core Features & Use Cases

• Data Analysis & Visualization: Combine acoustic features with machine learning models and visualize results.
• Model Training & Evaluation: Orchestrate data loading, feature extraction, and model training with ease.
• Use Case: Researchers can use Nkululeko to quickly analyze audio data and explore machine learning models for emotion, age, gender, or disorder detection without extensive coding.

Quick Start

Run the nkululeko skill with the configuration file 'examples/exp_polish_tree.ini' to start an experiment.