training a model using audio recordings from noise scenarios in a set of training data;

decomposing a training signal from the set of training data into a message component and a noise component;

scaling the noise component by a random scale factor to obtain a scaled noise, wherein the random scale factor is a power with a base that is a constant and an exponent that includes a random variable;

adding the scaled noise to the message component to obtain a perturbed audio signal that is included in the set of training data;

training a first teacher model using a first subset of the set of training data associated with a first noise scenario of the noise scenarios;

training a second teacher model using a second subset of the set of training data associated with a second noise scenario of the noise scenarios; and

training a student model using soft labels output from the first teacher model and soft labels output from the second teacher model.