Insights
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Speaker diarization and labeling across multi-speaker recordings
Who said what, when — diarization is deceptively hard in real, multi-speaker, multilingual audio. How we identify, segment and label speakers consistently across recordings.
by Cognegica Quality & Standards
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Edge-case and non-speech-event annotation
[noise], [laughter], [overlapping speech] — the events that aren't words are often what break a model. How we annotate non-speech events and transcription edge cases consistently.
by Cognegica Quality & Standards
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Controlling environmental and background noise in audio and video capture
Background noise can make or break a speech dataset. The recording-environment standards and controlled noise variations we use to keep audio and video capture clean — and realistic.
by Cognegica Data Operations
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Physical AI data as a service: what buyers actually need
Robotics and embodied AI need data too — but it's collection and annotation, not a research moonshot. Here's what buyers actually need from a Physical AI data partner.
by Cognegica Data Operations