Generating an enhanced audio signal using jointly trained models

A system comprising:

• at least one physical processor;
• and
• physical memory comprising computer-executable instructions that, when executed by the at least one physical processor, cause the at least one physical processor to:
• generate, by a first machine-learning model, an intermediate estimate of a target signal within input audio;
• compute, based on the estimate and the input audio, parameters of an adaptive filter;
• apply the adaptive filter to the input audio to produce a filtered audio signal;
• and
• generate, by a second machine-learning model, an enhanced audio signal based at least in part on the filtered signal, wherein the first and second models have been jointly trained end-to-end to enhance the target signal.

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed by at least one physical processor of a computing device, cause the computing device to:

• generate, by a first machine-learning model, an intermediate estimate of a target signal within input audio;
• compute, based on the estimate and the input audio, parameters of an adaptive filter;
• apply the adaptive filter to the input audio to produce a filtered audio signal;
• and
• generate, by a second machine-learning model, an enhanced audio signal based at least in part on the filtered signal, wherein the first and second models have been jointly trained end-to-end to enhance the target signal.