Phillip DeLeon

Learn More
Gaussian mixture model (GMM)-based speaker identification systems have proved remarkably accurate for large populations using reasonable lengths of high-quality test utterances. Test utterances, however, acquired from cellular telephones or over the Internet (VoIP) may have dropouts due to packet loss. In our research, we have demonstrated that for small(More)
NASA s long-term goals for the exploration of Mars include the use of rovers and sensors which communicate through proximity wireless networks. The performance of any such wireless network depends fundamentally on the radio frequency (RF) environment. In order to evaluate and optimize the performance of such a wireless network, a basic understanding or(More)
In this work, we are interested in the potential use of spherically invariant random processes (SIRPs), described by two parameters, for speaker identification. These random processes have been shown to be a more statistically-accurate model for speech than Laplace and Gamma probability density functions. Computation of the two SIRP parameters is fast and(More)
The performance of the Multicast Dissemination Protocol (MDP) in a simulated satellite channel is investigated. The environment that is modeled is that to be expected in a small satellite communications environment including channel errors and link interruptions. The satellite link is simulated with a channel environment simulator. The performance of MDP is(More)
SCALABLE AUDIO CODING THAT SCALES TO LOW BITRATES BY SRIVATSAN A. KANDADAI, B.S., M.S. Doctor of Philosophy New Mexico State University Las Cruces, New Mexico, 2007 Dr. Charles D. Creusere, Chair A perceptually scalable audio coder generates a bit-stream that contains layers of audio fidelity and is encoded in such a way that adding one of these layers(More)
  • 1