Simulating the reverberation of rooms has numerous applications that range from evaluating acoustic scenarios in the development of signal processing algorithms to the exploration of speech intelligibility in virtual rooms with movable sources. A hybrid approach was created to simulate room acoustics, achieving high computational efficiency and perceptual plausibility: early reflections were calculated using the image source model (ISM) and the reverberant tail used a feedback delay network (FDN). The FDN approach was modified to be adaptable to various room dimensions and wall absorption coefficients. Using head-related impulse responses, the authors extended it to create spatially-distributed reverberation for arbitrary source and receiver positions. Subjective ratings of the perceived room attributes and the assessment of various common parameters showed a good correspondence between simulated and real rooms.
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