CO恥1PRESSIVE CODING OF STEREO AUDIO SIGNALS EXTRACTING SPARSENESS AMONG SOUND SOURCES WITH INDEPENDENT COMPONENT ANALYSIS

In this paper we propose a new compressive coding method of stereo audio signals extracting sparseness among sound sources by using independent component analysis. Some researchers have proposed a compressive coding method of multi-channel audio called binaural cue coding (BCC), and the ISO/MPEG standard­ ization group discusses standard of next generation audio based on BCC. BCC has an underlying model assuming existence of only a single sound source in each subband of the multi-channel audio signal. Mismatch of this model often occurs and as a result qual­ ity of reconstructed multi-channel signal degrades. To extract the time-frequency grids where only a single source exists, we apply independent component analysis (lCA) to stereo signals. Using this analysis, a single dominant source can be chosen e筒ciently in each of frequency bins. In addition, transfer functions to recon­ struct stereo signal from the dominant source is also extracted by lCA. Experiments based on both objective and subjective evalua­ ttons ascert創ns efficiency of the proposed method.