What the microphone can measure
Audio software can detect vocal events and estimate features such as fundamental frequency, spectral energy, duration and intonation. Repetition and the spacing between calls add useful timing. These features may help distinguish recording contexts in a labelled dataset.
The room is also in the recording
Phone microphones, echo, compression, television, human speech and distance all change the signal. Age, sex and individual anatomy can also affect voice. A model may accidentally learn the sound of a food cupboard rather than a universal “feed me” call if the dataset is not designed carefully.
Pair the waveform with the moment
CatMind AI keeps audio beside video. A call at a door, beside an empty bowl or during handling may sound similar while the visible sequence differs. Multimodal evidence reduces guessing, although it still cannot prove a precise thought or diagnose illness.
Sources and further reading
- Context changes duration, pitch and intonation in human-directed meows
- Automatic classification of cat vocalisations emitted in different contexts
- Meows are variable and encode less individual information than purrs
Sources support the general information on this page. CatMind AI is an observation tool, not a veterinary diagnostic service.
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