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N-HANS is a Python toolkit for in-the-wild audio enhancement, includingspeech, music, and general audio denoising, separation, and selective noise orsource suppression. The functionalities are realised based on two neuralnetwork models sharing the same architecture, but trained separately. Themodels are comprised of stacks of residual blocks, each conditioned onadditional speech or environmental noise recordings for adapting to differentunseen speakers or environments in real life. In addition to a Python API, acommand line interface is provided to researchers and developers, both of whichare documented at https://github.com/N-HANS/N-HANS. Experimental resultsindicate that N-HANS achieves outstanding performance, and ensure its reliableusage in real-life audio and speech-related tasks, reaching very high audio andspeech quality.

N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System