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The usage of Recurrent Neural Network Language Models (RNNLMs) has allowed reaching significant improvements in Automatic Speech… Expand This paper presents a new time/memory-efficient algorithm for the evaluation of state likelihoods in an HMM-based speech… Expand A new language model for speech recognition is presented. The model develops hidden hierarchical syntactic-like structure… Expand Multi-ply web forming stock jets directed through a slice from a single headbox into a forming zone between converging forming… Expand In this paper we present a new method for improving the throughput of an asynchronous stack search based speech recognition… Expand Most text-searching user interfaces (HIS) are made of standard UI components arranged in text-based forms. This approach to… Expand The maximum a posteriori hypothesis is treated as the decoded truth in speech recognition. However, since the word recognition… Expand Three techniques are proposed to speed up the search of the lexicon in large-vocabulary continuous speech recognition. Using a… Expand A modified stack algorithm for VQ-based tree encoding on image compression applications is presented. The encoding process in… Expand The Speech Recognition Group at IBM Research in Yorktown Heights has designed a real-time, isolated-utterance speech recognizer… Expand