Glossary Library

Technical GlossarySpeech, Voice and Audio AI

ECAPA-TDNN

An advanced architecture that uses channel attention and multi-scale temporal structure to improve speaker embedding quality.

ECAPA-TDNN is one of the standout architectures in modern speaker recognition for high-quality embedding generation. It learns discriminative voice representations through multi-scale temporal context and channel attention mechanisms. It is especially notable for strong results on short utterances and under difficult channel conditions. It is an important reference point in current speaker recognition systems.

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Triplet Loss

A representation learning loss that pulls similar examples closer together and pushes dissimilar ones apart.

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Vector Database

A storage and retrieval system optimized for high-dimensional embedding data and similarity search.

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Approximate Nearest Neighbor Search

A search approach in high-dimensional vector spaces that prioritizes speed and acceptable proximity over exactness.