Abstract
This paper presents the theoretical background for the Model Based Underdetermined Source Separation presented in [5]. We show that for a given frequency band, in contrast to customary assumption, the observed Short-Time Fourier Transform (STFT) ratio coming from one source is not constant in time, but is a random variable whose distribution we have obtained. Using this distribution and the Time-Frequency (TF) “disjoint” assumption of sources, we are able to obtain promising results in separating four audio sources from two microphones in a real reverberant room.
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Pham, DT., El-Chami, Z., Guérin, A., Servière, C. (2009). Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_13
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DOI: https://doi.org/10.1007/978-3-642-00599-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00598-5
Online ISBN: 978-3-642-00599-2
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