1. A method for performing acoustic dynamic classification of a breathing session, said method comprising: capturing breathing sounds of a subject using a microphone; processing said breathing sounds to generate an audio respiratory signal; recognizing a plurality of breath cycles and a plurality of breath phases within each of said plurality of breath cycles from said audio respiratory signal; detecting characteristics regarding said plurality of breath cycles and said plurality of breath phases; and extracting metrics concerning a breath pattern quality of said subject using said characteristics.