LIVE RESEARCH PROTOTYPENOT FOR CLINICAL DIAGNOSIS

02 / Models

Small models. Clear signals.

We compare complementary views of the same respiratory sound instead of hiding the decision behind a single score.

Research artifactInteractive figure
Model architecture pipelineClick to inspect · Esc to close
Research artifactInteractive figure
Implementation architectureClick to inspect · Esc to close
01

CNN spectrogram

Learns local time-frequency patterns from mel representations.

02

Temporal encoder

Tracks how respiratory events unfold across a recording.

03

Soft ensemble

Combines model views to make predictions more stable and reviewable.

“The useful model is the one a researcher can inspect, challenge, and improve.”

SHWASA · RESPIRATORY ACOUSTIC INTELLIGENCEOPEN METHODS / INSPECTABLE OUTPUTS