Blind Separation of Infinitely Many Sparse Sources
Hirokazu Kameoka, Misa Sato, Takuma Ono, Nobutaka Ono, Shigeki Sagayama · 2012
Abstract: This paper presents a novel BSS approach that simultaneously performs an estimation of the number of sources, source separation based on the sparseness of speech, and permutation alignment, based on Bayesian nonparametric approach.