AUGMENTING VOICE SAMPLES BASED ON DISTRIBUTIONS OF SPEAKER CLASSES

A method of augmenting a training dataset of voice samples is provided. An audio processing system obtains voice samples and groups the voice samples into classes of spectral representations. The system obtains warp distributions associated with the classes of spectral representations and determines spectral change ratios based on a comparison of the warp distributions. The system determines transformations based at least in part on the spectral change ratios and applies the transformations to the voice samples grouped into the classes of spectral representations to generate a set of augmented voice samples. The system compiles the training dataset using at least the set of augmented voice samples. A recognition model is trained using the training dataset.