Feature Learning of Critical Live Performance Audio Characteristics for a Virtual Sound Engineer

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Live music performance typically involve the adjustment several parameters on a console to optimize the sound quality for the audience. This is usually down by a sound engineer or sound technician, by adjusting controls on a mixing console during a sound check prior to the performance.Many musicians or tenants of smaller venues would benefit from automatically-generated guidance for performance the sound adjustment. While there are general rules to follow, most of that work is primarily based on the sound engineer intuition and experience, and do not translate easily into a computer algorithm. The industrial partner in this project, Upscale Technology Inc., aims at developing such an intelligent automatic virtual sound engineer. One of the first step towards that goal is to identify the sound characteristics that are common to what is considered a "good sound" in live music performances. In this project, feature learning techniques will be developed to encompass the sound charactistics that need to be optimized to provide a satisfying audio experience.