Artículo
Initialization method for speech separation algorithms that work in the time-frequency domain
Autor/es | Sarmiento Vega, María Auxiliadora
Durán Díaz, Iván Cruces Álvarez, Sergio Antonio |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2010 |
Fecha de depósito | 2022-03-30 |
Publicado en |
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Resumen | This article addresses the problem of the unsupervised separa tion of speech signals in realistic scenarios. An initialization procedure is
proposed for independent component analysis (ICA) algorithms that work in
the ... This article addresses the problem of the unsupervised separa tion of speech signals in realistic scenarios. An initialization procedure is proposed for independent component analysis (ICA) algorithms that work in the time-frequency domain and require the prewhitening of the observations. It is shown that the proposed method drastically reduces the permuted solu tions in that domain and helps to reduce the execution time of the algorithms. Simulations confirm these advantages for several ICA instantaneous algo rithms and the effectiveness of the proposed technique in emulated reverber ant environments. |
Agencias financiadoras | Ministerio de Ciencia y tecnología (España) |
Identificador del proyecto | TEC2008-06259 |
Cita | Sarmiento Vega, M.A., Durán Díaz, I. y Cruces Álvarez, S.A. (2010). Initialization method for speech separation algorithms that work in the time-frequency domain. Journal of the Acoustical Society of America, 127 (4), EL121-EL126. |
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