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@inproceedings{Hochreiter200715MS, title={15 Monaural Speech Separation by Support Vector Machines : Bridging the Divide Between Supervised and Unsupervised Learning Methods}, author={Sepp Hochreiter and Michael C. Mozer}, year={2007} }

- Published 2007

We address the problem of identifying multiple independent speech sources from a single signal that is a mixture of the sources. Because the problem is ill-posed, standard independent component analysis (ICA) approaches which try to invert the mixing matrix fail. We show how the unsupervised problem can be transformed into a supervised regression task which is then solved by supportvector regression (SVR). It turns out that the linear SVR approach is equivalent to the sparse-decomposition… CONTINUE READING