Estimating direct-to-reverberant energy ratio using D/R spatial correlation matrix model
IEEE Transactions on Audio, Speech, and Language Processing, 2011•ieeexplore.ieee.org
We present a method for estimating the direct-to-reverberant energy ratio (DRR) that uses a
direct and reverberant sound spatial correlation matrix model (Hereafter referred to as the
spatial correlation model). This model expresses the spatial correlation matrix of an array
input signal as two spatial correlation matrices, one for direct sound and one for
reverberation. The direct sound propagates from the direction of the sound source but the
reverberation arrives from every direction uniformly. The DRR is calculated from the power …
direct and reverberant sound spatial correlation matrix model (Hereafter referred to as the
spatial correlation model). This model expresses the spatial correlation matrix of an array
input signal as two spatial correlation matrices, one for direct sound and one for
reverberation. The direct sound propagates from the direction of the sound source but the
reverberation arrives from every direction uniformly. The DRR is calculated from the power …
We present a method for estimating the direct-to-reverberant energy ratio (DRR) that uses a direct and reverberant sound spatial correlation matrix model (Hereafter referred to as the spatial correlation model). This model expresses the spatial correlation matrix of an array input signal as two spatial correlation matrices, one for direct sound and one for reverberation. The direct sound propagates from the direction of the sound source but the reverberation arrives from every direction uniformly. The DRR is calculated from the power spectra of the direct sound and reverberation that are estimated from the spatial correlation matrix of the measured signal using the spatial correlation model. The results of experiment and simulation confirm that the proposed method gives mostly correct DRR estimates unless the sound source is far from the microphone array, in which circumstance the direct sound picked up by the microphone array is very small. The method was also evaluated using various scales in simulated and actual acoustical environments, and its limitations revealed. We estimated the sound source distance using a small microphone array, which is an example of application of the proposed DRR estimation method.
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