Phillip DeLeon

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NASAÕs 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)
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)
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)
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