Automatic speech recognition has advanced to the stage where it is now practical to recognize connected strings of words (e.g.
We propose a new algorithm for enhancing noisy speech in the sense of improving its quality and/or intelligibility.
SUMMARY: Enchancement of noisy speech could be optimally performed if the probability distribution's (PD's) of the source and the noise were known.
In this paper we examine the problem of autoregressive (AR) modeling of information sources which have been degraded by noise.
There currently exist two standard approaches to isolated word recognition, namely, feature extraction methods and statistical pattern recognition models.
We consider approximations of the form n sup -1-o(1) for the Maximum Clique problem, where n is the number of vertices in the input graph and where the "o(1)" term goes to zero as n increases.
Coverage probability is a key performance indicator for both broadcast and cellular networks, but it is calculated and thus defined in different ways between the two.
The liquid metaphor refers to software that operates seamlessly across multiple devices owned by one or multiple users.
We believe the following three ingredients are enough to explain the mystery of the arrow of time: (1). equations of dynamics of gas molecules, (2).
Suppose intervals arrive in a Poisson stream at rate 1 and each interval remains independently for an exponential time with mean 1/rho.
