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The DAS data reduction equation is a function of many parameters including the microphone locations, microphone transfer functions, temperature and the cross-spectral matrix (CSM), where each one of these parameters has a unique uncertainty associated with it.
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For verifying the finite element results, the two-microphone transfer function method is also applied to measure the absorption coefficients of the discussed acoustic absorbers.
The two-microphone transfer function method and the modified Ingard and Dear impedance tube testing system are employed to measure the parameters deemed necessary for the finite element analysis, such as complex wave propagation constant, characteristic impedance and flow resistivity.
The enhanced signal using a priori known "true" noise PSD is denoted as Ref. Due to the estimation error in the interaural and source-to-microphone transfer functions, for instance, due to noise or reverberation, the speech components will leak to some degree into the blocking residual.
In this algorithm, the left and the right source-to-microphone transfer functions are identified by minimizing the error signal between microphone signal and an estimated source signal, i.e., (widehat {s} k)) [43, 44, 53] begin{array}{*{20}l} {e}_{l}(k) &= y_{l} k-L) - widehat{mathbf{h} k-L}^{T}widehat{mathbf{s}}(k), {e}_{r}(k) &= y_{r}(k-L) - widehat{mathbf{h}}_{l}^{T}widehat{mathbf{s}} k).
As an example of two-port characterization, the calibrated sensor, complete with a microphone for transfer impedance measurement, is used for the measurement of side hole parameters.
The CMN makes the features robust to some linear filtering of the acoustic signal, which might be caused by microphones with different transfer functions, varying distance from user to microphone, the room acoustics, or transmission channels [9].
Other TDE approaches include determining adaptively the transfer function between microphone channels [9], or the impulse responses between the source and receivers [10].
This method localizes sound sources based on source positions and impulse responses (transfer function) of microphones.
We propose a new method for speech source separation that is based on directionally-disjoint estimation of the transfer functions between microphones and sources at different frequencies and at multiple times.
The basis for the technique is transfer function measurements between microphone pairs.
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