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Pronunciation modeling by sharing Gaussians
mi.eng.cam.ac.uk/reports/svr-ftp/nock_csl00.pdf31 Jul 2000: Pronunciation modeling by sharing Gaussians 141. TABLE I. WER degradation with speaking style on theMULTI-REG test set. ... Steps (6), (3), (4) and (5) arethen carried out in that order to estimate and test a matched pronunciation model. -
EXPERIMENTS IN BROADCAST NEWS TRANSCRIPTION P.C. Woodland, T. Hain,…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_icassp98.pdf10 Apr 2000: spontaneous non-native). Table 1: Broadcast news focus conditions. For development test purposes, data broadcast in July 1996from six shows was used. ... Overall 19.0 21.0. Table 9: % Word error rates on the Marketplace dev-test show forautomatic and -
Class-based language model adaptation using mixtures ofword-class…
mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf2 Nov 2000: 4 ExperimentsThe full HUB-4 1997 evaluation test set was used to as-sess language model performance.1 Although the trainingtext described in section 3 was chosen to try and matchthe ... Treating this asthe baseline result to improve upon, statistical -
The 1998 HTK Broadcast News Transcription System:Development and…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_darpa99.pdf8 Mar 2000: During system development theBNeval97 test set was used. 4.1. Increased Acoustic Training Data. ... All these sources ex-cluded data from the designated test epochs. This corpus wasdenoted LMtrain98. -
POSTERIOR PROBABILITY DECODING, CONFIDENCEESTIMATION AND SYSTEM…
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_stw00.pdf5 Oct 2000: It canbe seen that for the eval00 test set the unmapped posteriors performmuch better than for the eval98 set. ... Table 4: System Combination Results. The improvement over the single best system achieved byROVER are rather disappointing especially on -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf8 Mar 2000: Development work on the TREC-6 test corpus was done using twoHTK based systems. ... But more importantly, the test data is too small for reliable andinformative inference. -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec8.pdf10 Apr 2000: Preprocess & apply SPI to the test collection to giveIt2. Preprocess & apply SPI to parallel collection to giveIp3. ... This contains the TREC-8 SDR test collectionperiod (Feb 1st to June 30th 1998). -
A Statistical Consistency Check for the SpaceCarving Algorithm. A. ...
mi.eng.cam.ac.uk/reports/svr-ftp/broadhurst_cipolla_bmvc2000.pdf25 Oct 2000: The test sequence(seefigure 8 ) consistsof a hollow unit cubewith textured imageson the back threefaces.This configurationwaschosenbecauseit hasa largehollow volumethathasto becarvedaway, and the exterior boundarygives no information aboutthe -
SPEAKER CLUSTERING USING DIRECT MAXIMISATION OFTHE MLLR-ADAPTED…
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_icslp98.pdf10 Apr 2000: 1. INTRODUCTION. For speech transcription problems with widely varyingspeaker, channel and background conditions, such asbroadcast news transcription, it is beneficial to include un-supervised test-data adaptation to individual speakers anddata -
GENERAL QUERY EXPANSION TECHNIQUESFOR SPOKEN DOCUMENT RETRIEVAL…
mi.eng.cam.ac.uk/reports/svr-ftp/jourlin_esca99.pdf10 Apr 2000: The output of the first pass is used alongwith a top-down covariance-based segment clusteringalgorithm [10] to group segments within each show toperform unsupervised test-set adaptation using maxi-mum ... 5. RESULTS. The five systems described in section4
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