Speaker analysis turns a meeting recording into a structured profile of who spoke, how much, how, and with what impact. It's the foundation of any serious people analytics on meeting behaviour.
Automatic analysis of meeting participation: distinguishes speakers, measures talk time and turns, qualifies how each one communicates.
Foundational step: splits audio into segments per voice, labelling "Speaker 1, 2, 3..." even without knowing names. Once labelled, speakers can be mapped to real names.

Speaker analysis is the set of techniques that, starting from a meeting transcript, produces a structured profile per participant: talk time, communication style, sentiment, topics, dominance.
Speaker diarisation is the automatic process that splits audio into per-voice segments: "Speaker 1 talks 0:00–0:42, Speaker 2 talks 0:42–1:18..." even without knowing who they are. Once labelled, speakers can be mapped to real names.
Without diarisation, any per-person metric is impossible.
The automatic analysis of who spoke, how much, how, and with what impact in a meeting, based on a transcript with diarisation.
The process that splits audio into segments per speaker, identifying "who speaks when" even when names are not known a priori.
Talk time per person, number of interventions, average length, sentiment per speaker, topics covered, interruptions, dominance index.
Measuring participation balance, dominance, coaching on leadership and listening, evaluating team meetings.
Upload the recording. TANYRA runs diarisation, identifies speakers, computes per-person metrics and produces profiles comparable across meetings.
TANYRA runs diarisation, metrics and cross-meeting comparisons automatically.
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