Separation of Mixed Audio Signals by Decomposing Hilbert Spectrum with Modified EMD (Speech/Audio Processing, <Special Section> Multidimensional Signal Processing and Its Application)

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概要

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• The Hilbert transformation together with empirical mode decomposition (EMD) produces Hilbert spectrum (HS) which is a fineresolution time-frequency representation of any nonlinear and nonstationary signal. The EMD decomposes the mixture signal into some oscillatory components each one is called intrinsic mode function (IMF). Some modification of the conventional EMD is proposed here. The instantaneous frequency of every real valued IMF component is computed with Hilbert transformation. The HS is constructed by arranging the instantaneous frequency spectra of IMF components. The HS of the mixture signal is decomposed into subspaces corresponding to the component sources. The decomposition is performed by applying independent component analysis (ICA) and Kulback-Leibler divergence based K-means clustering on the selected number of bases derived from HS of the mixture. The time domain source signals are assembled by applying some post processing on the subspaces. We have produced experimental results using the proposed separation technique.

• 社団法人電子情報通信学会の論文
• 2006-03-01

著者

• Hirose Keikichi

  The Graduate School Of Information Science And Technology The University Of Tokyo

• Minematsu Nobuaki

  The Graduate School Of Frontier Sciences The University Of Tokyo

• Molla Khademul

  The Graduate School Of Frontier Sciences The University Of Tokyo

関連論文

• Separation of Mixed Audio Signals by Decomposing Hilbert Spectrum with Modified EMD (Speech/Audio Processing, Multidimensional Signal Processing and Its Application)

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