A new source separation approach based on time-frequency analysis for instantaneous mixtures
نویسندگان
چکیده
Frédéric ABRARD Laboratoire d’Acoustique, de Métrologie et d’Instrumentation Université Paul Sabatier 118 route de Narbonne 31062 Toulouse cedex FRANCE [email protected] Yannick DEVILLE Laboratoire d’Acoustique, de Métrologie et d’Instrumentation Université Paul Sabatier 118 route de Narbonne 31062 Toulouse cedex FRANCE [email protected] Paul WHITE Signal Processing and Control Group, Institute of Sound and Vibration Research University of Southampton Highfield SO17 1BJ ENGLAND [email protected]
منابع مشابه
From Blind Source Separation to Blind Source Cancellation in the Underdetermined Case: a New Approach Based on Time-frequency Analysis
Many source separation methods are restricted to non-Gaussian, stationary and independent sources. This yields some problems in real applications where the sources often do not match these hypotheses. Moreover, in some cases we are dealing with more sources than available observations which is critical for most classical source separation approaches. In this paper, we propose a new simple sourc...
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متن کاملReferences in Blind Separtion & Identification, and Control Theory
A linear prediction-like algorithm for passive localization of near-field sources, [5] K. Abed Meraim and Y. Hua, " Blind identification of multi-input multi-output system using minimum noise subspace, " IEEE Trans. On subspace methods for blind identification of single-input multiple-output FIR systems, " IEEE Trans. Blind source separation using second order cyclostationary statistics, " IEEE...
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The underdetermined blind audio source separation problem is often addressed in the time-frequency domain by assuming that each time-frequency point is an independently distributed random variable. Other approaches which are not blind assume a more structured model, like the Spectral Gaussian Mixture Models (Spectral-GMMs), thus exploiting statistical diversity of audio sources in the separatio...
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