Prentice-Hall / Amazon / Human Language Technologies / Oracle / YouTube / /
Facility
M. J. F. Gales University of Cambridge / University of Cambridge / /
IndustryTerm
post-processing system / word network / neural network / distance algorithm / confusion network / dynamic programming algorithm / search paths / final network / transcription services / transcription network / deep neural network / /
Organization
M. J. F. Gales University of Cambridge / Department of Engineering Trumpington Street / University of Cambridge / North American Chapter / Association for Computational Linguistics / /
Person
James H. Martin / Daniel Jurafsky / Klaus Zechner / Gabriel Parent / Erik McDermott / Andrew Y. Ng / Barbara Hollister / I. Dan Melamed / Alexander I. Rudnicky / Jason D. Williams / Maxine Eskenazi / Chris Callison-Burch / Jonathan G. Fiscus / Keelan Evanini / Hank Liao / Bing Xiang / Matthew Marge / Kartik Audhkhasi / Shrikanth S. Narayanan / Connor / Norbert Braunschweiler / Long Nguyen / Derrick Higgins / Scott Novotney / Jay Wilpon / Satanjeev Banerjee / M.J.F. Gales / Tirso Alonso / Sabine Buchholz / Panayiotis G. Georgiou / /
IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER R. C. van Dalen, K. M. Knill, P. Tsiakoulis, M. J. F. Gales University of Cambridge, Department of Engineering Trumpington Street, Cambridge CB2 1