A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures
Identifieur interne : 000219 ( Main/Exploration ); précédent : 000218; suivant : 000220A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures
Auteurs : Juan Manuel Sanchis [Espagne] ; José Joaquín Rieta [Espagne] ; Francisco Castells [Espagne] ; José Millet [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-30110-3_141
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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