This E-book is a collection of articles that describe advances
in speech recognition technology. Robustness in speech
recognition refers to the need to maintain high speech
recognition accuracy even when the quality of the input speech
is degraded, or when the acoustical, articulate, or phonetic
characteristics of speech in the training and testing
environments differ. Obstacles to robust recognition include
acoustical degradations produced by additive noise, the effects
of linear filtering, nonlinearities in transduction or
transmission, as well as impulsive interfering sources, and
diminished accuracy caused by changes in articulation produced
by the presence of high-intensity noise sources. Although
progress over the past decade has been impressive, there are
significant obstacles to overcome before speech recognition
systems can reach their full potential. Automatic speech
recognition (ASR) systems must be robust to all levels, so that
they can handle background or channel noise, the occurrence on
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