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Santosh

H • 1m

I have a training model on breathing coughing and wheezing, The training data used are from a smartphone microphone with an all environment and noise condition. Also trained the same model on an electronic stethoscope chest sound. Initial prediction

Yash Thale

A generalist aiming ... • 1m

that's a interesting concept. Brother, I believe it'll work. For the breathing part. You Need to Use some kind of sound filter to remove the disturbance from the surroundings using another mic as a sound cancelling mic. I guess, this will help ?

Santosh

H • 1m

ideally it should work of all kinds of environments, that's how it is trained. Aim is early detection not diagnosis

Santosh

H • 1m

Noice cancellation yes, accuracy is more and diagnosis level

Yash Thale

A generalist aiming ... • 1m

(Please this is a suggestion, don't totally rely on this one) I will suggest you to collect day to day sounds that might act as a disturbance for the real purpose. And Somehow classify it out when capturing audio for the real thing so that it cancles out the disturbances better. ( Don't use sound effects, instead make a natural collection of sounds that might act as a disturbance. )

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