6 accepted papers
This study proposes a permutation-alignment method for frequency-domain blind source separation. This method refines the results of Sawada’s permutation-alignment method using stricter objective function, relaxing the constraint of the permutation matrix by that of the doubly-stochastic matrix, and…
This paper proposes formulating declipping as a constrained multiple measurement vector (MMV) optimization problem that has a ${\ell _{2,0}}$ group norm as its cost function for further improving the state-of-the-art declipping method SParse Audio DEclipper (SPADE). This paper shows that the MMV opt…
We propose a frequency-domain blind source separation method that uses (a) the ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> norm of orthonormal vectors of estimated source signals as a sparsity measure and (b) Cayley transform for optimizin…
We propose a method to estimate a reverberant sound field by compressed sensing approach without using the hyper parameter for controlling sparsity. This method first applies sparse iterative covariance-based approach (SPICE) to the power spectral density matrix of the microphone signals and obtains…
We propose a method of estimating a sound field with two spherical microphone arrays (SMAs). This method estimates plane-wave expansion coefficients of the sound field by using sparse representation modeling in the frequency domain. The dictionary matrix we propose for this modeling achieves the int…
We propose a method for finding a good combination of nonidentical directivities for a microphone array, i.e., a combination that can achieve better noise suppression. To avoid checking all combinations of directivities, the method incrementally applies ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/…