Abstract: The disclosed technology relates to methods, background noise suppression systems, and non-transitory computer readable media for background noise suppression. In some examples, frames fragmented from input audio data are projected into a higher dimension space than the input audio data. An estimated speech mask is applied to the frames to separate speech components and noise components of the frames. The speech components are then transformed into a feature domain of the input audio data by performing an inverse projection on the speech components to generate output audio data, and also transform the noise components of the frames in the higher dimension space into the lower dimension space using a second inverse projection to learn a difference between speech and noise. The output audio data is provided via an audio interface. The output audio data advantageously comprises a noise-suppressed version of the input audio data.

Abstract: The disclosed technology relates to methods, background noise suppression systems, and non-transitory computer readable media for background noise suppression. In some examples, frames fragmented from input audio data are projected into a higher dimension space than the input audio data. An estimated speech mask is applied to the frames to separate speech components and noise components of the frames. The speech components are then transformed into a feature domain of the input audio data by performing an inverse projection on the speech components to generate output audio data. The output audio data is provided via an audio interface. The output audio data advantageously comprises a noise-suppressed version of the input audio data.