NEURAL TEMPORAL BEAMFORMER FOR NOISE REDUCTION IN SINGLE-CHANNEL AUDIO SIGNALS

This disclosure provides methods, devices, and systems for audio signal processing. The present implementations more specifically relate to multi-frame beamforming using neural network supervision. In some aspects, a speech enhancement system may include a linear filter, a deep neural network (DNN), a voice activity detector (VAD), and an IFC calculator. The DNN infers a probability of speech (pDNN) in a current frame of a single-channel audio signal based on a neural network model. The VAD determines whether speech is present or absent in the current audio frame based on the probability of speech pDNN. The IFC calculator may estimate an IFC vector based on the output of the DNN (such as the probability of speech pDNN) and the output of the VAD (such as an indication of whether speech is present in the current frame). The linear filter uses the IFC vector to suppress noise in the current audio frame.