Chengzhu Yu

Learn More
In this study, we explore the propagation of uncertainty in the state-of-the-art speaker recognition system. Specifically, we incorporate the uncertainty associated with observation features into the i-Vector extraction framework. To prove the concept, both the oracle and practically estimated uncertainty are used for evaluation. The oracle uncertainty is(More)
NASA's Apollo program stands as one of mankind's greatest achievements in the 20th century. During a span of 4 years (from 1968 to 1972), a total of 9 lunar missions were launched and 12 astronauts walked on the surface of the moon. It was one the most complex operations executed from scientific, technological and operational perspectives. In this paper, we(More)
In state-of-the-art speaker recognition system, universal background model (UBM) plays a role of acoustic space division. Each Gaussian mixture of trained UBM represents one distinct acoustic region. The posterior probabilities of features belonging to each region are further used as core components of Baum-Welch statistics. Therefore, the quality of(More)
Mask-based objective speech-intelligibility measures have been successfully proposed for evaluating the performance of binary masking algorithms. These objective measures were computed directly by comparing the estimated binary mask against the ground truth ideal binary mask (IdBM). Most of these objective measures, however, assign equal weight to all(More)