Glossary Library

Technical GlossarySpeech, Voice and Audio AI

Speaker Diarization

The task of determining who spoke when over the timeline of an audio recording.

Speaker diarization is a core requirement in multi-speaker environments such as meetings, panels, call-center recordings, and court audio. The system segments the audio and groups similar voice segments under the same speaker identity. This goes beyond transcription by helping interpret the structure and interaction within speech. It is a foundational component for meeting intelligence and enterprise audio analytics.

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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.