Abstract
Underdetermined blind extraction problem of speech mixtures is discussed in this paper. A two-step blind extraction algorithm is proposed. It firstly estimates one basis vector of the mixing matrix using the samples in single source intervals (SSI), and then extracts or reconstructs the corresponding source. Thus, the algorithm can sequentially recovery partial sources using the SSI and decorrelative when the recoverability of the matrix is unknown. Compared with ICA algorithm, it is a non-iteration method. Several speech signals experiments demonstrate its performances.
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Xiao, M., Wang, F., Xiong, J. (2008). A Two-Step Blind Extraction Algorithm of Underdetermined Speech Mixtures. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_86
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DOI: https://doi.org/10.1007/978-3-540-87734-9_86
Publisher Name: Springer, Berlin, Heidelberg
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