Glossary Library

Technical GlossarySpeech, Voice and Audio AI

x-vector

A modern speaker recognition approach designed to produce fixed-dimensional embeddings representing speaker identity.

The x-vector approach has been one of the most influential components of the deep-learning-based embedding revolution in speaker recognition. By mapping variable-length speech into a fixed-dimensional representation space, it enables strong performance in verification and identification systems. It has been widely used especially in diarization and speaker verification pipelines.

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Explore these concepts to continue your artificial intelligence journey.

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Automatic Speech Recognition

The core speech-to-text task aimed at converting human speech into text.

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End-to-End ASR

An approach that performs speech-to-text conversion with a single unified network instead of separate acoustic and language models.

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CTC Decoding

A core learning and decoding approach that helps recover text from speech sequences with unknown alignments.