The Fabry-Perot interferometer has recently become important as a resonant cavity for electromagnetic radiation at optical frequencies.
Recently, Li et al. proposed a new auditory feature for robust speech recognition in noise environments. The new feature was derived by mimicking closely the function of human auditory process.
In this work, an integrated approach to vector dynamic feature extraction is described in the design of a hidden Markov model (VVD-IHMM) based speech recognizer.
Natural language call classification can be performed using a latent semantic indexing (LSI) matrix, a popular vector-space model used in information retrieval.
In this paper, we show how discriminative training can be used to improve classifiers used in natural language processing, using as an example the task of natural language call routing.
In this paper we describe how discriminative training can be applied to language models for speech recognition.
This paper shows how discriminative training can significantly improve classifiers used in natural language processing, using as an example the task of natural language call routing, where callers
Fibre-to-the-premises (FTTP) has been long sought as the ultimate solution to satisfy the demand for broadband access in the foreseeable future, and offer distance-independent data rate within acce
We discuss magnetic excitations of a spin-cluster model which has been suggested to describe the low temperature phase of alpha' -NaV sub 2 O sub 5.
This is a discussion of the papers `Personal Computers and Presentation of XLISP-STAT` (L. Tierney), 'Large Scale Computers and Parallel Processing` (T.Havranek and Z.
