System and methods for automatically mixing audio for acoustic scenes

A system, comprising:

• at least one physical processor;
• a physical memory comprising computer-executable instructions that, when executed by the physical processor, cause the physical processor to:
• obtain an audio sample from a content source;
• input the obtained audio sample into a trained machine learning model;
• obtain the output of the trained machine learning model, wherein the output is a profile of an environment in which the input audio sample was recorded;
• obtain an acoustic impulse response corresponding to the profile of the environment in which the input audio sample was recorded;
• obtain a second audio sample;
• combine the obtained acoustic impulse response with the second audio sample;
• and
• insert a result of combining the obtained acoustic impulse response and the second audio sample into an audio track.

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

• obtain an audio sample from a content source;
• input the obtained audio sample into a trained machine learning model;
• obtain the output of the trained machine learning model, wherein the output is a profile of an environment in which the input audio sample was recorded;
• obtain an acoustic impulse response corresponding to the profile of the environment in which the input audio sample was recorded;
• obtain a second audio sample;
• combine the obtained acoustic impulse response with the second audio sample;
• and
• insert a result of combining the obtained acoustic impulse response and the second audio sample into an audio track.