Improved phone recognition using Bayesian triphone models
A crucial issue in triphone based continuous speech recognition is the large number of models to be estimated against the limited availability of training data. This problem can...
Publications
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216 publications
Perspectives on Variation
The significant advances witnessed over the last years in the broad field of linguistic variation testify to a growing convergence between sociolinguistic approaches and the som...
Ah Receptor: A Novel Ligand-Activated Transcription Factor
Two years have passed since the Ah receptor (AhR) and the AhR nuclear translocator (Arnt) were revealed to constitute a novel ligand-activated transcription factor by molecular ...
An exploration of large vocabulary tools for small vocabulary phonetic recognition
While research in large vocabulary continuous speech recognition (LVCSR) has sparked the development of many state of the art research ideas, research in this domain suffers fro...
Backpropagation training for multilayer conditional random field based phone recognition
Conditional random fields (CRFs) have recently found increased popularity in automatic speech recognition (ASR) applications. CRFs have previously been shown to be effective com...
Biological CO Evolution
Journal Article Biological CO Evolution: Carbon Monoxide Evolution during Auto- and Enzymatic Oxidation of Phenols Get access Sadao MIYAHARA, Sadao MIYAHARA The Department of Bi...
Mechanics and Properties of Matter
Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Per...
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data
Linked data consist of both node attributes, e.g., Preferences, posts and degrees, and links which describe the connections between nodes. They have been widely used to represen...
Global optimization of a neural network-hidden Markov model hybrid
An original method for integrating artificial neural networks (ANN) with hidden Markov models (HMM) is proposed. ANNs are suitable for performing phonetic classification, wherea...
HIPERLAN, applications and requirements
This paper traces the origins and applications of HIPERLAN, a system for high speed short range radio networks for computers. HIPERLAN, HIgh Performance European Radio LAN, is t...