Open vs enclosed spatial environment classification for a mobile or wearable device using microphone and deep learning method

A device, comprising:

• one or more microphones configured to:
• detect ambient sound in a spatial environment;
• and
• output an audio signal representative of the ambient sound;
• and
• a processor configured to:
• obtain a plurality of frames of the audio signal, the plurality of frames including a first frame and a second frame;
• determine an energy of the first frame and an energy of the second frame;
• and
• classify a type of the spatial environment based on the energy of the first frame and the energy of the second frame.

A system, comprising:

• a processor;
• and
• memory configured to store executable instructions that, when executed by the processor, cause the processor to:
• receive an audio signal representative of ambient sound of a spatial environment;
• obtain a plurality of frames of the audio signal, the plurality of frames including a first frame and a second frame;
• determine an energy of the first frame and an energy of the second frame;
• and
• classify a type of the spatial environment based on the energy of the first frame and the energy of the second frame.