Glossary Library

Technical GlossarySpeech, Voice and Audio AI

Few-Shot Audio Classification

A low-data learning approach aimed at recognizing new audio events or classes from very few examples.

Few-shot audio classification is important when modeling rare acoustic events or expert-level sound categories. In situations where many examples per class are unavailable, general audio representations and adaptable decision mechanisms are used. This is especially valuable for industrial fault sounds, bioacoustic events, and specialized security signals.

You Might Also Like

Explore these concepts to continue your artificial intelligence journey.

Glossary Cover

matematik-istatistik-optimizasyon

Train / Validation / Test Split

A core data splitting approach used to separate model learning, tuning, and final evaluation in an honest way.

Glossary Cover

veri-bilimi-ve-veri-yonetimi

Data Augmentation

An approach that expands the training set by transforming existing data to improve model robustness.

Glossary Cover

makine-ogrenmesi

Ridge Regression

A regression method with L2 regularization that reduces overfitting by penalizing coefficient magnitude.