Find the patterns.
Record or upload vocalizations. The current lab identifies acoustic events; the broader research program investigates vocal, behavioral, and human response patterns.
Canine Semiosis is a participatory research platform for discovering how dogs and humans develop shared communication. Begin with your dog’s sounds. Build an individualized model. Help investigate meaning as it emerges through everyday life.
Recurring signals become more informative when you add context and observe what happens next.
Canine Semiosis begins with a simple proposition: communication is not merely a signal to classify. It is an unfolding relationship between animal, person, and environment. Owners contribute contextual knowledge while the system tests recurring patterns against what happens next.
Record or upload vocalizations. The current lab identifies acoustic events; the broader research program investigates vocal, behavioral, and human response patterns.
Suggest interpretations and describe what the dog, human, and environment were doing. Your interpretation is a hypothesis, not automatic ground truth.
Track recurrence, surprises, corrections, and subsequent behavior. Study whether a personalized model becomes more adequate over time.
Canine Semiosis connects an approachable consumer application with an ambitious, privacy-first sensing and research roadmap. These offerings share a common model of recurring sounds, situated behavior, and reciprocal interaction.
Record your dog, explore tentative interpretations, propose corrections, and develop a personalized sound and interaction history. Future iterations can add longitudinal discovery journals and prospective outcome tracking.
Use supported existing household cameras or microphones to capture dog vocalizations, human speech activity, and interaction timing for opt-in, locally analyzed episodes. Compatibility and local stream availability must be verified per device.
A low-profile microphone or local hub for sustained event detection, multiple supported sensors, and more consistent long-term observation. Envisioned with visible sensing indicators, local processing, and explicit recording controls.
An opt-in research environment for studying recurrence, turn-taking, breakdown and repair, human–animal coordination, and prospective adequacy across longitudinal interaction histories.
Status transparency: the interactive website laboratory is an existing demonstration. Connect, Home, Observatory, subscriptions, and commercial release plans are proposed directions—not currently available products or validated hardware capabilities.
A browser-based preview for exploring sound pulses, adding situated observations, and developing owner-proposed associations. This compact demo is distinct from the more extensive DogSpeak interpretation engine.
Upload WAV, MP3, or M4A if your browser supports decoding it. Nothing is sent to a server.
Select a detected pulse. Propose a meaning and add context. An owner label is a hypothesis—not a verified translation.
Dog owners witness the moments that isolated audio datasets usually miss: invitations, hesitation, attention, responses, and the ways routines develop. Citizen scientists could contribute carefully documented interactions while retaining control over whether any information leaves their devices.
Canine Semiosis investigates how a dog and a person respond to each other through time. A bark, a human phrase, a gaze, or a movement can be part of a larger recursively organized interaction.
The dog vocalizes or gestures; the human speaks, pets, pauses, or acts.
Temporal order, response latency, and behavior reveal possible contingency.
Similar sequences return across contexts, sometimes changing with experience.
Locked predictions and subsequent observations distinguish apparent meaning from tested adequacy.
Rather than assuming a bark means “outside,” the system could study whether the coordinated sequence predicts what happens next, and whether the pattern strengthens or changes over repeated occasions.
Enactive Ethology is our research approach to animal behavior and communication as they unfold through interaction. Canine Semiosis applies ideas from HDMIC, Enactive Translation, and participatory symbol grounding. The aim is not to assign a universal English meaning to every bark, but to investigate whether recurring acoustic patterns, context, and subsequent behavior support increasingly adequate interpretations.
The opportunity is to build long-term value for dog owners while developing an ethically governed, longitudinal scientific program—not to monetize unverified claims about animal translation.
A freely accessible research preview can demonstrate value and identify active participants. A paid personal-learning tier, integrations, and optional hardware would be evaluated through pilots, not announced as existing offers. Research participation should remain a separate, voluntary choice—not a prerequisite for product use.
Audio processing and this demo's learning happen inside your browser. There is no account, cloud transcription, or generative AI service in this draft. Only you choose whether to export your observations.
Browser-local data can be lost if site data is cleared. Other tools such as third-party hosting analytics, if added later, would require their own disclosures.
The present browser demo processes user-selected recordings locally. Proposed Connect and Home products would require additional privacy reviews, participant consent, bystander protections, security testing, and appropriate compliance with recording laws before release.
No verified animal-to-English translation is claimed. It identifies patterns and supports owner-guided interpretation, with the aim of testing recurring relationships between sounds, situations, and observed behavior.
The research application uses local computational learning and hypothesis-maintenance techniques, some of which can be described as AI. It does not require cloud generative AI to create its observations or learning records.
Enactive Ethology could eventually support other species, but this canine application is exploratory and its acoustic and interaction models need separate validation before transfer.
This draft has no outbound data requests for processing. It stores optional annotations locally. Hosting infrastructure may still receive ordinary requests for the website itself; check production analytics and hosting configurations before making stronger privacy promises.