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ATS is a spectral modeling system based on a sinusoidal plus critical-band noise decomposition. Psychoacoustic processing informs the system's sinusoidal tracking and noise modeling algorithms. Perceptual Audio Coding (PAC) techniques such as Signal-to-Mask Ratio (SMR) evaluation are used to achieve perceptually accurate sinusoidal tracking. SMR values are also used as a psychoacoustic metric to determine the perceptual relevance of partials during analysis data postprocessing. The system's noise component is modeled using Bark-scale frequency warping and sub-band noise energy evaluation. Noise energy at the sub-bands is then distributed on a frame-by-frame basis among the partials resulting in a compact hybrid representation based on noise modulated sinusoidal trajectories.