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This is a history of basic theories in audio BSS field.
For acoustic signals, independent component analysis, ICA, was applied to the frequency domain signals as FDICA. After that, many permutation solvers for FDICA have been proposed, but eventually, an elegant solution, independent vector analysis, IVA was proposed. It is still extended to more flexible models.
On the other hand, nonnegative matrix factorization, NMF, is also developed and extended to a multichannel signals for source separation problems.
Recently, we have developed a new framework, which unifies these two powerful theories, called independent low-rank matrix analysis, ILRMA.
I will explain about the detail.
This is a history of basic theories in audio BSS field.
For acoustic signals, independent component analysis, ICA, was applied to the frequency domain signals as FDICA. After that, many permutation solvers for FDICA have been proposed, but eventually, an elegant solution, independent vector analysis, IVA was proposed. It is still extended to more flexible models.
On the other hand, nonnegative matrix factorization, NMF, is also developed and extended to a multichannel signals for source separation problems.
Recently, we have developed a new framework, which unifies these two powerful theories, called independent low-rank matrix analysis, ILRMA.
I will explain about the detail.
This is a history of basic theories in audio BSS field.
For acoustic signals, independent component analysis, ICA, was applied to the frequency domain signals as FDICA. After that, many permutation solvers for FDICA have been proposed, but eventually, an elegant solution, independent vector analysis, IVA was proposed. It is still extended to more flexible models.
On the other hand, nonnegative matrix factorization, NMF, is also developed and extended to a multichannel signals for source separation problems.
Recently, we have developed a new framework, which unifies these two powerful theories, called independent low-rank matrix analysis, ILRMA.
I will explain about the detail.