A Psychoacoustic Model for Audio Coding Based on a Cochlear Filter Bank

Perceptual audio coders use an estimated masked threshold for the determination of the maximum permissible just-inaudible noise level introduced by quantization. This estimate is derived from a psychoacoustic model mimicking the psychoacoustics of masking. Current applications use a uniform spectral decomposition as first stage of that model to approximate the frequency selectivity of the human auditory system. The availability of efficient implementations led to a virtually exclusive use of uniform decompositions in audio coding. However, the equal filter properties of the uniform sub-bands are not in line with the nonuniform auditory filters. This paper presents a psychoacoustic model based on an efficient nonuniform cochlear filter bank with a simplified less complex post-processing for estimating the masked threshold. Application results in audio coding shows a significantly better performance in terms of bit rate and/or quality of the new model in comparison with other state-of-the-art models with a uniform spectral decomposition.