  We propose Mobile Audio Streaming Networks (MASnet) for efficient low-latency
speech enhancement, which is particularly suitable for mobile devices and other
applications where computational capacity is a limitation. MASnet processes
linear-scale spectrograms, transforming successive noisy frames into
complex-valued ratio masks which are then applied to the respective noisy
frames. MASnet can operate in a low-latency incremental inference mode which
matches the complexity of layer-by-layer batch mode. Compared to a similar
fully-convolutional architecture, MASnet incorporates depthwise and pointwise
convolutions for a large reduction in fused multiply-accumulate operations per
second (FMA/s), at the cost of some reduction in SNR.
