A method for training a generative adversarial network (GAN)-based text-to-speech (TTS)
model and a speech recognition model in unison includes obtaining a plurality of training …

A method, computer program product, and computing system for receiving feature-based
voice data associated with a first acoustic domain. One or more gain-based augmentations …

A method, computer program product, and computing system for receiving feature-based
voice data associated with a first acoustic domain. One or more reverberation-based …

202 1/()() 3 5563 A| 2/2021 Cartwright et al. 0000S00000S00 GSS 9/2021 Sharma et al. 202
1/() 287652 A| 9/2021 Sharma et al. 202 1/() 287653 A| 9/2021 Sharma et al. 2 () 21/() …

Introduced here are approaches to training and then employing computer-implemented
models designed to upsample discrete audio signals to higher sampling rates. Assume, for …

Methods and systems for anomaly detection include training a neural network model to
identify a form of data augmen tation that has been performed on a waveform. Multiple forms …

Introduced here are approaches to training and then employing computer-implemented
models designed to upsample discrete audio signals to higher sampling rates. Assume, for …

(57) ABSTRACT A method for training a generative adversarial network (GAN)-based text-to-
speech (TTS) model and a speech recognition model in unison includes obtaining a plurality …

Disclosed herein is a method for data augmentation, which includes pretraining latent
variables using first data corre sponding to target speech and second data corresponding to …

A method, computer program product, and computing system for generating a three-
dimensional model of at least a portion of a three-dimensional space incorporating an ACI …