Embedded Optimization Algorithms for Perceptual Enhancement of Audio Signals (2013)
Abstract / truncated to 115 words
This thesis investigates the design and evaluation of an embedded optimization framework for the perceptual enhancement of audio signals which are degraded by linear and/or nonlinear distortion. In general, audio signal enhancement has the goal to improve the perceived audio quality, speech intelligibility, or another desired perceptual attribute of the distorted audio signal by applying a real-time digital signal processing algorithm. In the designed embedded optimization framework, the audio signal enhancement problem under consideration is formulated and solved as a per-frame numerical optimization problem, allowing to compute the enhanced audio signal frame that is optimal according to a desired perceptual attribute. The first stage of the embedded optimization framework consists in the formulation of the ... toggle 9 keywordsaudio signal enhancement – embedded optimization – audio quality – sound perception – nonlinear distortion – clipping – loudspeaker precompensation – declipping – dereverberation
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