Glossary Library

Technical GlossarySpeech, Voice and Audio AI

Overlapped Speech Detection

A task focused on identifying time intervals in which multiple speakers talk simultaneously.

Overlapped speech detection is one of the hardest aspects of diarization. Human conversation naturally overlaps, especially in interactive settings such as meetings and call centers. If the system does not model this explicitly, both speaker boundaries and transcription quality can degrade severely. For this reason, modern diarization systems often treat it as a dedicated subproblem.

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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.