This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
The identification and processing of similarities in the data play a key role in multiple application scenarios. Several types of similarity-aware operations have been studied in ...
Time-frequency representations constitute the main tool for analysis of nonstationary signals arising in real-life systems. One of the most challenging applications of time-frequen...
It has been shown that the principal subspace based multi-channel Wiener filter (MWF) provides better performance than the conventional MWF for the interference suppression in th...
Feature-space transforms such as feature-space maximum likelihood linear regression (FMLLR) are very effective speaker adaptation technique, especially on mismatched test data. In...
Jing Huang, Karthik Visweswariah, Peder A. Olsen, ...