Sinusoidal coding using loudness-based component selection
Heiko Purnhagen, Nikolaus Meine, Bernd Edler · IEEE International Conference on Acoustics Speech and Signal Processing · 2002
Sinusoidal modelling forms the base of parametric audio coding systems, like MPEG-4 HILN, where it is combined with noise and transient models. A parametric encoder decomposes the audio signal into components that are described by appropriate models and represented by model parameters. To achieve efficient coding at very low bitrates, selection of the perceptually most relevant signal components (e.g. sinusoids) is essential, as only a limited number of component parameters can be conveyed in the bitstream. Various strategies for sinusoidal component selection have been proposed in the literature. This paper introduces a new, loudness-based strategy and tries to compare the different strategies using objective and subjective criteria.