Perceptual audio coding schemes based on adaptive signal processing tools

FERNANDO MARENGO RODRIGUEZ; SERGIO CASTELLS; GONZALO DANIEL SAD

Proceedings of Meetings on Acoustics,

Acoustical Society of America

Año: 2017 vol. 28

1939-800X

In this paper, new perceptual audio coding schemes based on adaptive processing tools are proposed. They rely on both the empirical mode decomposition (EMD) and the ensemble empirical mode decomposition (EEMD) methods. In comparison with other perceptual coding schemes, the one presented here is simpler since physically meaningful components of the input signal are detected, then their local extrema are extracted and Golomb-Rice encoding of the extracted samples is performed. The proposed scheme is assessed in terms of compression ratio and perceptual quality for various tracks from the European Broadcasting Union Sound Quality Assessment Material (EBU-SQAM) compact disc. The obtained results are compared with those corresponding to other perceptual audio coding methodologies.