The fields of human speech recognition (HSR) and automatic speech recognition (ASR)
both investigate parts of the speech recognition process and have word recognition as their …

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 …

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 …

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 …

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 …

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 …

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 …