In this chapter we will discuss feature extraction methods for speaker classification. We introduce linear predictive coding, mel frequency cepstral coefficients and wavelets and ...
Stefan Schacht, Jacques C. Koreman, Christoph Laue...
Abstract: A comparative interaction detection paradigm is proposed to study the complex gene regulatory networks that control cell proliferation during development. Instead of atte...
Mingzhou Song, Chung-Chien Hong, Yang Zhang, Laura...
In this paper we describe the AMIDA speaker dizarization system as it was submitted to the NIST Rich Transcription evaluation 2007 for conference room data. This is done in the con...
Networks of sensors arise naturally in many different fields, from industrial applications (e.g., monitoring of environmental parameters in a chemical plant) to surveillance appl...
The requirement for power system operators to respond more efficiently to the stressed power system conditions that may create large number of alarms asks fort advanced alarm proc...