Audio enhancement through supervised latent variable representation of target speech and noise

Abstract

Systems and methods for generating an enhanced audio signal comprise a trained neural network configured to receive an input audio signal and generate an enhanced target signal, the trained neural network comprising a pre-processing neural network configured to receive a segment of the input audio signal and output an audio classification, the pre-processing neural network including at least one hidden layer comprising an embedding vector, and a noise reduction neural network configured to receive the segment of the input audio signal, and the embedding vector and generate the enhanced target signal. The pre-processing neural network may comprise a target signal pre-processing neural network configured to output a target signal classification and comprising at least one hidden layer comprising a target embedding vector. The pre-processing neural network may comprise a noise pre-processing neural network configured output a noise classification and comprising at least one hidden layer comprising a noise embedding vector.

Dependencies are inferred from the claim text.