Cluster · loud-grunts
Loud grunts.
Higher-amplitude grunts during foraging and recruitment. Often serial and quickly answered by group members.
v1 corpus · exemplars coming · AI narration available
AI interpretation · Loud grunts
Louder cousins of the quiet-grunt category, loud grunts appear in foraging and recruitment contexts — often serial, often quickly answered by nearby group members. Spectrally they look almost like compressed caws, but the social context separates them sharply: territorial caws face outward; loud grunts face the group. Like quiet grunts, our v1 corpus lacks dedicated exemplars in this cluster. The recordings exist in academic libraries but rarely on Creative Commons. We're transparent about the gap. The embedding space tells us where this cluster lives geometrically; the audio will follow.
Recordings in this cluster
Exemplars coming.
Our v1 CC-licensed corpus doesn't yet include exemplars for this cluster. The embedding space tells us where the cluster lives geometrically; the audio will follow as we expand the public corpus. Contributors welcome.
Behavioral-context probabilities
What happens when this cluster fires.
- Foraging
- 55%
- Recruitment
- 25%
- Affiliative
- 15%
- Other
- 5%
Probabilities are cluster-wide estimates from the behavioral-context classifier in the methods pipeline. Not per-clip — individual recordings sit somewhere within this distribution.
Frequently asked
What people ask about loud grunts.
- What is the loud grunts cluster?
- Higher-amplitude grunts during foraging and recruitment. Often serial and quickly answered by group members.
- How many loud grunts recordings does CrowLingo have?
- CrowLingo's v1 corpus does not yet include loud grunts exemplars — this cluster sits on the map as a placeholder while we source CC-licensed recordings.
- How does AI interpret the loud grunts cluster?
- Louder cousins of the quiet-grunt category, loud grunts appear in foraging and recruitment contexts — often serial, often quickly answered by nearby group members. Spectrally they look almost like compressed caws, but the social context separates them sharply: territorial caws face outward; loud grunts face the group. Like quiet grunts, our v1 corpus lacks dedicated exemplars in this cluster. The recordings exist in academic libraries but rarely on Creative Commons. We're transparent about the gap. The embedding space tells us where this cluster lives geometrically; the audio will follow.
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