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ITERATIVE UNSUPERVISED ADAPTATION USING MAXIMUMLIKELIHOOD LINEAR…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_icslp96.pdf17 Oct 2000: standard clean modelset and then to perform further adaptation for the actual test data [7]. ... For the evaluation test H3-P0 data one microphone was selectedby NIST for each speaker. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/ragni_ICASSP11.pdf11 Mar 2011: There arethree test sets available for testing. The setup used follows the onedescribed in [3]. ... Again the use of a CAUG MPE trainedmodel yielded gains for all test sets. -
The Cambridge University March 2005 Speaker Diarisation System R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/sinha_eurospeech05.pdf23 Jun 2005: data when processing all the test data togetheror 8.6% when processing the test data shows independently. ... The previous experiment was repeated adding the test dataitself, E, instead of the dev data. -
An Explicit Independence Constraint for Factorised Adaptation in…
mi.eng.cam.ac.uk/~mjfg/wang_is2013.pdf13 Jun 2013: noisesource (“restaurant noise”), while the 410 test utterances weredistorted by the 6 noise sources with a uniform distribution. ... The first row of table 1 shows the perfor-mance on three test sets. -
yokou
mi.eng.cam.ac.uk/~sjy/papers/toyo09.pdf20 Feb 2018: These sentences were randomlyselected for eachspeaker andeach listener fromtheevaluationdata.3. Figure 1 shows the result of the test. ... GV-Trj. Trj. Trj. GV-Trj. F0. Mel-cep. Fig. 1. Result of opinion test on naturalness. -
Scaling Up POMDPs for Dialog Management: The “Summary POMDP” ...
mi.eng.cam.ac.uk/~sjy/papers/wiyo05.pdf20 Feb 2018: 1.). 4. DEMONSTRATION. Figure 5 shows an example conversation between the test user model and the POMDP. ... User model built from test set. Figure 3: perr vs. reward gained per turn for the sample. -
Experiments with Fisher Data Gunnar Evermann, Bin Jia, Kai ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_sttmay04.pdf25 May 2004: Test setseval03 6h set from Fisher and Swb2-5 data, 72 conversationsdev04 3h set from Fisher, 36 conversations. ... WER on eval03, fsh2004sub models, unadapted, 2003 trigram. Test with adaptation in P1-P2 system:. -
SVMs, Generative Kernels & Maximum MarginStatistical Models Mark…
mi.eng.cam.ac.uk/~mjfg/ISM_talk.pdf9 Dec 2004: Corpus consists of– 48 training examples per vowel (total of 528 examples)– 42 test examples per vowel (total of 462 examples). • ... φcn(O; λ) =. F(ω1) F(ω2). φ(O; λ)1. . • Incorporating in score-space requires consistency -
User study of the Bayesian Update of Dialogue State ...
mi.eng.cam.ac.uk/~sjy/papers/tgkm0820 Feb 2018: In previous experiments the user simulator would change its goaland require a venue matching the new goal but this is difficult to test ina real environment. ... In future work we hope to test performance ofa deployed system, thereby both increasing the -
IEEE Proo f IEEE TRANSACTIONS ON AUDIO, SPEECH, AND ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP06.pdf4 Apr 2007: For all systems, the test setsupervision was generated using the MPE-SI models. ... In the following experiments, pairwise significance test wasdone using NIST provided software - , where signifi-cance tests were using a standard approach [25]. -
DEVELOPMENT OF A PHONETIC SYSTEM FOR LARGE VOCABULARY ARABICSPEECH ...
mi.eng.cam.ac.uk/~mjfg/gales-asru07.pdf11 Jan 2008: Two test sets defined by BBN were used for evaluating the sys-tems. ... It was ensured that therewas no overlap between this training and test data. -
Multi-domain Neural Network Language Generation forSpoken Dialogue…
mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf20 Feb 2018: In order to assessthe subjective performance of our system, a qualitytest and a pairwise preference test are presented insection 8. ... b) Preference test on laptop to TV adaptation scenario. Table 3: Pairwise preference test among four ap-proaches in -
DEVELOPMENT OF THE CUHTK 2004 RT04F MANDARIN CONVERSATIONALTELEPHONE…
mi.eng.cam.ac.uk/~mjfg/rt04f_mandarin.pdf23 Dec 2004: For this work both the dev04 and eval03 test sets were usedfor development. ... The new LM gave 1.1%absolute reduction in CER on the dev04 test set. -
WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf9 Dec 2006: and probabilitiesFind Ngram rules. human transcriptionand diarisation. (optional)assign categories. test datatraining data. ... Rules whose probability ex-ceeds a threshold are then applied to the test data. -
LARGE SCALE MMIE TRAINING FOR CONVERSATIONALTELEPHONE SPEECH…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_stw00.pdf5 Oct 2000: 4 IMPROVING MMIE GENERALISATION. An important issue in MMIE training is the ability to generalise tounseen test data. ... The results of these experiments on both theeval97sub and eval98 test sets are shown in Table 4. -
Version IB/2 3 (a) This network follows a typical ...
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Examples/exam/4F12_2023_CRIB.pdf23 Oct 2023: B = 1, otherwise. is a margin parameter. At test time the a single image is used to obtain its embedding vector and find thenearest neighbour in the database of the embedding ... Only the the deconvolution layer parameters are trained. Test use. At test -
The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…
mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf8 Mar 2000: In tests the fastercache led to 6-8% faster decoder operation on a Xeon than onthe equivalent Pentium II. ... Further tests under different operating systems indicated that. compiler efficiency was also an important issue. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/ragni_ASRU11.pdf20 Dec 2011: Classes SystemState Test set. Avgtied α A B C D. VTS 7.1 15.3 12.1 23.1 17.9. ... COMPARIS ON TOMPE-VAT HMM S. System Test set AvgA B C D. -
Part IA Computing CourseLent Term Software Design Exercise Roberto ...
mi.eng.cam.ac.uk/~cipolla/resource/lent.pdf12 Apr 2022: You are required to design, implement, test and evaluate a program writtenin C++ to display and analyse the past trading price data. ... Session 4 Shipping working functions to team directory(Day 2 afternoon) Testing on test data sets 60 minutes. -
Discriminative Adaptation for Speaker Verification C. Longworth and…
mi.eng.cam.ac.uk/~mjfg/longworth_INTER06.pdf22 Nov 2006: Though gains inthe posterior of the correct speaker were obtained in training thesedid not generalise well to the test data. ... Eurospeech, 1997. [11] A. Martin, “The NIST year 2002 speaker recog-nition evaluation plan,” 2002, Available
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