We give a fresh look into score normalization for merging result-lists, isolating the problem from other components. We focus on three of the simplest, practical, and widelyused l...
This paper employs general multivariate normal distribution to develop a new efficient statistical timing analysis methodology. The paper presents the theoretical framework of the...
The authors present a turbo soft-in soft-out (SISO) decoder based on Max-Log maximum a posteriori (ML-MAP) algorithm implemented with sliding window (SW) method. A novel technique...
: Several studies have shown that explaining actions increases students’ knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based t...
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...