Abstract:Blind Source Extraction (BSE) may be an essential but a challenging task where multiple sources are convolved and/or time delayed. In this article we discuss the performance of Multivariate Calibration Techniques that comprise of Classical Least Square (CLS), Inverse Linear Regression (ILS), Principal Component Regression (PCR) and Partial Least Square Regression (PLS) in achieving this task in robust speech recognition systems with varying Signal-to-Noise Ratios (SNR). We specifically analyze two methods for … Show more
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