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15 Nov 2005: Cross-Validation method, and the Test-Sample method. In the former, the learning. ... replace the more costly Cross-Validation misclassification estimation by the. Test-Sample method.

22 Sep 2005: Using just the target test show for Ewas not effective. ] The DER on the. ... E. uses the test data (unsupervised). Concatenation () and MAP adapted ( ) results are given.

28 Apr 2005: increasing mixtures.• Obtain prob from each SU subtype GMM for each feature vector in test data.• Place GMM probs on arcs of lattice and decode as usual. ... Initial GMM results for dev03f test set:. SYSTEM DEL INS SUBS %Err.

31 Mar 2005: NIST,. ''Benchmark Tests : Rich Transcription (RT),''.

10 Jan 2005: gram. The reduction is greater if PLSA’straining text relates to the test set. ... The test set perplexities were calculated on the re-maining half of eval03 (eval03tst).

10 Jan 2005: NIST,. Benchmark Tests : Rich Transcription (RT),.

12 Apr 2005: For MLLR mean adaptation, a. SystemAdapt Test Set WER (%)Config eval03 dev04 dev04f. ... This system wasevaluated on botheval03 and dev04 test sets and comparedwith the SATDIAGC system.

9 Aug 2005: This is restrictive in practicein that test data may contain distortions that take it outside the strict ambit of the trainingpositives. ... This can be computed in terms of likelihoods. (1)so then the test becomes (2)where.

23 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.

25 Mar 2005: 6. REFERENCES. [1] NIST, “Benchmark Tests : Rich Transcription (RT),” http://www.nist.gov/speech/tests/rt/. ... 2] NIST, “The Rich Transcription Spring2003 (RT-03S) Evaluation Plan, version 4,”http://www.nist.gov/speech/tests/rt/rt2003/spring/docs

22 Sep 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.

9 Aug 2005: Vocal tract length nor-malisation (VTLN) was applied in both training and test. ... Similar im-provements have been found on other test sets. 7. FULL VARIANCE TRANSFORMS.

9 Aug 2005: They are obtained by optimising the inser-tion penalty and another parameter, the silence probability incre-ment, for each test condition. ... Lynx noisefrom the NOISEX-92 database was added to the test sets at 18dBand 12dB.

9 Aug 2005: where4. is retained inE G. when the test succeeds. In practice the value of is fixed (e.g. ... Training- and test-sets were created by splitting thematerial evenly across these topics in the ratio 95:5, resulting in a vocabulary size of 41097 words.

15 Feb 2005: Presentation Overview. • RT03 Broadcast News System Review• Training & Test Data• Improved Acoustic Model Building. – ... Test set # Shows Size Period. dev03 6 3hrs Jan01eval03 6 3hrs Feb01dev04 6 3hrs Jan01dev04f 6 3hrs Nov03.

10 Jan 2005: The transcription is either known in training orobtained by an initial, non-VTLN, decoding pass for test data.If and are the original and transformed feature vectorsrespectively then the log-likelihood ... The systems were eval-uated on two 3 hour test

15 Feb 2005: Training and Test Data for CTS. The following sets of CTS training data were used:. ... Training and Test Data for BN. The following sets of BN training data were used:.

19 May 2005: This system wasevaluated on both eval03 and dev04 test sets and comparedwith the SATDIAGC system. ... Adaptation experimentswere conducted based on three 3-hour test sets: eval03, dev04and dev04f.

10 Jan 2005: Subsequently, separate distance estimates wereobtained for each patch in the three test sets. ... To facilitate the noise test (3), axial decorrelation curves werealso calculated for each patch.

9 Aug 2005: and kill-tests respectively, are used to decide upon the strengthof the correlation. ... The kill-test succeeds when 8 X , and the following figure illustrates these conditions.