N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along …
Solving real-world classification and recognition problems requires a principled way of modeling the physical phenomena generating the observed data and the uncertainty in it …
M De Wachter, M Matton, K Demuynck… - … on Audio, Speech …, 2007 - ieeexplore.ieee.org
Despite their known weaknesses, hidden Markov models (HMMs) have been the dominant technique for acoustic modeling in speech recognition for over two decades. Still, the …
A Park, JR Glass - IEEE Workshop on Automatic Speech …, 2005 - ieeexplore.ieee.org
We present an unsupervised algorithm for discovering acoustic patterns in speech by finding matching subsequences between pairs of utterances. The approach we describe is, in …
Attempting to understand the fundamental mechanisms underlying spoken language processing, whether it is viewed as behaviour exhibited by human beings or as a faculty …
J DaRolt, G Di Natale, ML Flottes… - 2011 Sixteenth IEEE …, 2011 - ieeexplore.ieee.org
The conflict between security and testability is still a concern of hardware designers. While secure devices must protect confidential information from unauthorized users, quality testing …
Temporal dynamics and speaker characteristics are two important features of speech that distinguish speech from noise. In this paper, we propose a method to maximally extract …
G Aradilla, J Vepa, H Bourlard - 2006 - infoscience.epfl.ch
Given the availability of large speech corpora, as well as the increasing of memory and computational resources, the use of template matching approaches for automatic speech …
JM Baker, L Deng, S Khudanpur… - IEEE Signal …, 2009 - ieeexplore.ieee.org
This article is the second part of an updated version of the" MINDS 2006-2007 Report of the Speech Understanding Working Group," one of five reports emanating from two workshops …