a new ica method for blind separaton

Blind speech separation 作者：Shoji Makino,Te-Won Lee,Hiroshi Sawada 2007 This is the world's first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a s

可以实现平稳甚至非平稳信号条件下的盲源分离

Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of mat

Unsupervised learning of phonemes of whispered speech in a noisy environment based on convolutive non-negative matrix factorization