Speech Separation Based on Higher Order Statistics Using Recurrent Neural Networks
Yan Li, David M W Powers · 2002
Independent Component Analysis (ICA) (Comon, 1994; Lee, 1998; Karhunen et al ,1997; Haykin, 1998) is an unsupervised technique, which tries to represent the data in terms of statistically independent variables. ICA and the related blind source separation (BSS) and application topics both in unsupervised neural learning and statistical signal processing. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.