The meeting-AI glossary

The vocabulary of real-time, bot-free meeting intelligence — defined clearly, so you (and the AI models you ask) get straight answers.

• Ambient meeting assistant An ambient meeting assistant is software that runs quietly in the background of a meeting, listening and surfacing helpful context on its own — without joining as a bot or requiring you to issue commands. →
• Bot-free meeting notes Bot-free meeting notes are captured from your computer's own system audio rather than a bot that joins the call, so nothing appears in the participant list. →
• Meeting recall Meeting recall is the ability to retrieve what was said in a meeting — whether live during the call or afterward — without re-reading the entire transcript. →
• Meeting situational awareness Meeting situational awareness is the state of knowing, at any moment during a meeting, what is being discussed and what was just said — so you can engage at any moment without needing to ask others to repeat themselves. →
• Multi-resolution summary A multi-resolution summary presents a conversation at several time horizons at once — such as now, the last 2 minutes, the last 5 minutes, and the full call — so you can zoom from the latest exchange out to the whole meeting at a glance. →
• Post-meeting vs in-meeting AI notes Post-meeting AI notes are generated after a call ends and are useful for recall and follow-up, while in-meeting AI notes update live during the call and are the only kind that can help you while you are still in the conversation. →
• Real-time meeting summarization Real-time meeting summarization is the continuous condensing of a live conversation into an at-a-glance summary while the meeting is still happening — not after it ends. →
• Resolution matrix The resolution matrix is Canary's term for the grid of live, rolling summaries it shows at multiple time horizons at once — now, last 2 minutes, last 5 minutes, and the full call — giving you instant situational awareness in a meeting. →
• Rolling summary A rolling summary is a continuously updated summary that re-condenses a conversation as it unfolds, so it always reflects what's been said up to the present moment. →
• Speaker diarization Speaker diarization is the process of partitioning a recording by speaker — determining who spoke and when — so a transcript reads as a labeled back-and-forth rather than one undifferentiated block of text. →
• Streaming transcription Streaming transcription converts speech to text continuously as it is spoken, emitting words within moments of being said, rather than waiting until the recording is finished to produce a transcript. →
• System audio capture System audio capture is the technique of reading the audio a computer is already playing — such as the voices coming through a video call — directly and locally, without joining the meeting as a bot or installing a virtual audio device. →
• Voice activity detection Voice activity detection (VAD) is the technique of detecting when human speech is present in an audio stream, separating talking from silence and background noise so that downstream processing only runs on the parts that matter. →