Definition
Speaker detection, also known as speaker diarization, is the AI process of identifying 'who spoke when' in an audio or video recording. The technology segments audio into speaker-specific regions, assigns consistent labels to each speaker throughout the recording, and can even identify speakers across different recordings. In video editing, this enables automatic camera switching in multi-camera setups, speaker-focused layouts for interviews and podcasts, and per-speaker captioning and transcription.
How Loopdesk Uses This
Loopdesk's multi-speaker detection AI automatically identifies individual speakers in your footage, switches camera focus between speakers, and creates dynamic split-screen or picture-in-picture layouts for interviews, podcasts, and panel discussions. Captions are attributed to the correct speaker, and you can create individual speaker highlight clips with a single prompt.
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Related Terms
Visual Understanding (Computer Vision)
AI's ability to analyze and interpret visual content in video frames, including scenes, objects, faces, emotions, and actions.
Auto-Generated Captions (Auto Subtitles)
AI-powered speech-to-text technology that automatically generates synchronized captions and subtitles for video content.
Podcast Video Editing
Specialized video editing workflows for podcast recordings, including multi-camera switching, speaker layouts, and clip extraction.
AI Video Editing
The use of artificial intelligence to automate and enhance video editing tasks such as cutting, trimming, captioning, and color correction.