AI Speak DogDecoding Dog Emotions
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Acoustic intelligence

The science behind the bark

No magic, no mind-reading — measurable acoustic signal, honest about what it can and can't tell you.

01

Detect the bark

A CLAP audio encoder decides whether a clip is genuinely a dog bark, recalibrated on real field recordings so it works across breeds and noisy rooms.

02

Extract 22 features

Pitch, bark rate, harmonics-to-noise ratio, spectral shape and more — the acoustic dimensions that decades of bioacoustics research tie to emotional state.

03

Estimate the emotion

A supervised arousal model — trained on labelled husky and shiba recordings — reads energy/arousal, combined with breed-relative acoustic priors for the final state.

How accurate is it, really?

Bark detection is measured — 99.7% recall / 99.3% specificity on real recordings. Reliably tells a bark from background noise.

Arousal is weak-but-real — R² ≈ 0.19 on held-out husky/shiba recordings (40% vs 34% chance). A genuine, validated energy signal.

Valence is the hard part — at chance from audio, so we read it from a photo/video instead (AUC 0.930). We show the estimate, don't oversell it, and your feedback improves it.

Every number, with its dataset and caveats, lives on the accuracy & methodology page.

Built on peer-reviewed research

  • Yin, S. (2002). A new perspective on barking in dogs. Journal of Comparative Psychology.
  • Pongrácz, P. et al. (2006). Acoustic parameters of dog barks and their emotional content.
  • Pongrácz, P. et al. (2010). Barking in family dogs: an ethological approach. The Veterinary Journal.

Try it on your own dog

See the acoustic read for yourself — free, no card required.

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AI Speak Dog — Decoding Dog Emotions

AI acoustic analysis that decodes your dog's emotions in real time. Built on peer-reviewed canine bioacoustics.

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