Abstract
A new method to evaluate the performance of convolutive blind signal separation (BSS) algorithms in acoustic mixtures is presented. The method is able to compute the spectral level enhancement, in a frequency-band based fashion, between the estimated and the residual sources, thus combining two previously defined parameters in time and frequency domain: the signal to interference ratio and the spectral preservation index. The new index is able to compute the quality of separation performing the spectral computations over a set of logarithmically spaced frequency bands in a similar way as the human auditory system. Obtained results clearly verify that this methodology is a more realistic approach to evaluate the convolutive BSS results of acoustic mixtures.
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Sanchis, J.M., Rieta, J.J., Castells, F., Millet, J. (2004). A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_141
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DOI: https://doi.org/10.1007/978-3-540-30110-3_141
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