Applying signal processing in the auralization of musical pieces for subjective evaluation

Generally acoustical qualities of concert halls and opera houses are evaluated in base of BIRs (binaural impulse responses) measured in them, and the anechoic music convoluted with BIR realizes the virtual sound as it were played in the sound field. Interaural Cross Correlation Coefficient (IACC) calculated from BIR is one of parameter to evaluate the spaciousness of hall. However the value of IACC is changed by the convolution technique in accordance with the kind of musical motif. For example, one binaural impulse response measured in the concert hall in Tsuyama (Japan) presents 0.16 for the value of IACC, while the IACC of the symphony ”Royal Pavane” (Orlando Gibbons) convoluted with it is 0.39, and the IACC of the symphony “Symphonietta n14 the forth movement” (Malcolm Arnold) convoluted with it is 0.32. The aim of this study is to predict the value of IACC after convolution using the acoustical characteristic extracted from the musical motif