Artículo
Solving permutations in frequencyy-domain for blind separation of an arbitrary number of speech sources
Autor/es | Durán Díaz, Iván
Sarmiento Vega, María Auxiliadora Cruces Álvarez, Sergio Antonio Aguilera Bonet, Pablo |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2011 |
Fecha de depósito | 2022-04-01 |
Publicado en |
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Resumen | Blind separation of speech sources in reverberant environ ments is usually performed in the time-frequency domain, which gives
rise to the permutation problem: the different ordering of estimated
sources for different ... Blind separation of speech sources in reverberant environ ments is usually performed in the time-frequency domain, which gives rise to the permutation problem: the different ordering of estimated sources for different frequency components. A two-stage method to solve permutations with an arbitrary number of sources is proposed. The suggested procedure is based on the spectral consistency of the sources. At the first stage frequency bins are compared with each other, while at the second stage the neighboring frequencies are emphasized. Experiments for perfect separation situations and for live recordings show that the proposed method improves the results of existing approaches. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (España) |
Identificador del proyecto | TEC2011-23559 |
Cita | Durán Díaz, I., Sarmiento Vega, M.A., Cruces Álvarez, S.A. y Aguilera Bonet, P. (2011). Solving permutations in frequencyy-domain for blind separation of an arbitrary number of speech sources. Solving permutations in frequency-domain for blind separation of an arbitrary number of speech sources, 131 (2), EL139-EL144. |
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