INTEGRATING META-INFORMATION INTO EXEMPLAR-BASED SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Kris Demuynck, Dino Seppi, Dirk Van Compernolle∗ Patrick Nguyen, Geoffrey Zweig

First Page		Document Content
Date: 2011-03-24 11:58:14 Computational linguistics Speech recognition Automatic identification and data capture Computer accessibility Dynamic time warping Template matching Search engine indexing Template Word error rate Information science Computing Software		INTEGRATING META-INFORMATION INTO EXEMPLAR-BASED SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Kris Demuynck, Dino Seppi, Dirk Van Compernolle∗ Patrick Nguyen, Geoffrey Zweig Add to Reading List Source URL: research.microsoft.com Download Document from Source Website File Size: 121,39 KB Share Document on Facebook

	Intelligently Aiding Human-Guided Correction of Speech Recognition DocID: 1rsl1 - View Document
	Speech Dasher: A Demonstration of Text Input using Speech and Approximate Pointing Keith Vertanen David J.C. MacKay DocID: 1rsex - View Document
	Thu.P9c.01 Spelling as a Complementary Strategy for Speech Recognition DocID: 1qGkb - View Document
	Listen, Attend and Spell arXiv:1508.01211v2 [cs.CL] 20 Aug 2015 William Chan Carnegie Mellon University DocID: 1qDN1 - View Document
	Keep, Change or Delete? Setting up a Low Resource OCR Post-correction Framework for a Digitized Old Finnish Newspaper Collection Kimmo Kettunen Center for Preservation and Digitisation, National Library of Finland, Mikke DocID: 1qrU1 - View Document