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A NEURAL NETWORK BASED, SPEAKER INDEPENDENT, LARGE…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wernicke_eurospeech93.pdf9 Aug 2005: Sincethe integration of feedforward and recurrent MLPs have al-ready been shown to be quite successful, the main goal of thisEsprit project is to develop and test these approaches on largescale ... 2. More specifically our current focus is to compare the -
paper-mdeval-v19_revised.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/tomalin_rt04.pdf12 Jan 2005: 10. REFERENCES. [1] NIST, “Benchmark Tests : Rich Transcription (RT),” http://www.nist.gov/speech/tests/rt/. ... ICASSP, March 2005. [19] Linguistic Data Consortium, “Simple Metadata AnnotationSpecification V5,” http://www.nist.gov/speech/tests/rt -
THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…
mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/paper.pdf10 Jan 2005: nist.gov/speech/tests/rt/rt2003/spring/docs/rt03-spring-eval-plan-v4.pdf , 25th February 2003. ... 3] NIST, “Fall 2004 Rich Transcription (RT-04F) EvaluationPlan,” http://www.nist.gov/speech/tests/rt/rt2004/fall/docs/rt04f-eval-plan-v14.pdf , 30th -
ON THE USE OF SUPPORT VECTOR MACHINES FOR PHONETIC ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icassp99.pdf9 Aug 2005: Agiven test example is then classified as belonging to the classwhose boundary maximizes ')( % ,F-. ... all clas-sifiers. 4. TIMIT EXPERIMENTS. To test the performance of SVMs on a more difficult task we usedthe TIMIT database [3]. -
LOOSELY COUPLED HMMS FOR ASR H.J. Nock� S.J. Young ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_icslp00.pdf9 Aug 2005: We use Isolet1-4 (6240 utterances)to train and speaker-disjoint Isolet5 (1560 utterances) to test. ... The McNemar test finds no significant differences be-tween the Vit or CVit schemes and EM/FL Scheme (at significancelevel. " ). -
johnson05improved.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_bmvc05.pdf9 Aug 2005: Figure 3: Annotation Performance on training and test data. The training subset consisted of 1667. ... images, or 90% of the data, with the test subset consisting of the remaining 10%, or 214 images. -
Article Submitted to Computer Speech and Language Automatic…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf9 Aug 2005: This test data isnamed TestBNAcoustic98. TestBNAcoustic98 comprises 3 hours of acoustic data andthe transcription. ... Table 8 shows the result of the capitalisation generation system based on NE classes andpunctuation marks for these test conditions. -
THE USE OF RECURRENT NEURAL NETWORKSFOR CLASSIFICATION T. L. ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/burrows_nnsp94.pdf9 Aug 2005: g g g g g g. decisionthreshold. Figure 7: Test patterns and decision boundary limits for a ‘g–d’ classifier: a) w too small,b) w too large. ... The recurrent connectionthus updates our estimate of the priors, depending on the previous context, y(t 1 -
SVMS, SCORE-SPACES AND MAXIMUM MARGIN STATISTICAL MODELS M.J.F. Gales …
mi.eng.cam.ac.uk/~mjfg/BeyondHMM.pdf15 Jun 2005: The held-out dataset for these experiments wasthe eval03 test set, which consists of 6 hours of data. ... To examine performance on held-out data the eval03 test setwas used. -
CLASSIFICATION USING HIERARCHICALMIXTURES OF EXPERTS S.R.Waterhouse…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/waterhouse_hme.pdf9 Aug 2005: In this paper weextend the HME to classification and results are reported for three commonclassification benchmark tests: Exclusive-Or, N-input Parity and Two Spirals. ... The points in the test set are offset vertically from the points in the learning
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