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2023 INTERSPEECH INTERSPEECH 2023

Nkululeko: Machine Learning Experiments on Speaker Characteristics Without Programming

Abstract

We would like to present Nkululeko, a template based system that lets users perform machine learning experiments in the speaker characteristics domain. It is mainly targeted on users not being familiar with machine learning, or computer programming at all, to being used as a teaching tool or a simple entry level tool to the field of artificial intelligence.

🌉 Interdisciplinary Bridge — Computer Science and Machine Learning
🧭 Keyword Pioneer — template-based system
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Felix Burkhardt , Florian Eyben , Bjorn W. Schuller

Topics

Machine Learning > Application Areas > Knowledge Distillation Computer Science > Applications > Software Engineering

Keywords

feature extraction machine learning speaker characteristics template-based system
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