Abstract: Examples relate to on-device non-semantic representation fine-tuning for speech classification. A computing system may obtain audio data having a speech portion and train a neural network to learn a non-semantic speech representation based on the speech portion of the audio data. The computing system may evaluate performance of the non-semantic speech representation based on a set of benchmark tasks corresponding to a speech domain and perform a fine-tuning process on the non-semantic speech representation based on one or more downstream tasks. The computing system may further generate a model based on the non-semantic representation and provide the model to a mobile computing device. The model is configured to operate locally on the mobile computing device.

Abstract: The present invention, in various embodiments, is directed to a geophysical system and method in which a transmitter coil is oriented with its axis horizontally, and a sensor is positioned below the coil to measure an ambient electrical and/or magnetic parameter associated with a conductive medium surrounding the at least one transmitter coil.