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5 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.

8 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.

8 Mar 2000: Two versions of the HTK system were used in the experimentson TREC-6 SDR test data. ... This system gave a word error rate of 24.1% on the TREC-6 test data and ran in about 50 times real time.

8 Mar 2000: approach, and two sets of HMMs were adapted.The test data for F2 was also automatically labelled as narrow. ... 1995 Hub-4 “Dry-Run” Broadcast Materials Bench-mark Tests. Proc. DARPA Speech Recognition Workshop, Har-riman, New York.

8 Mar 2000: Figure 3: Network prediction on training and test data. Actual output[.

5 Oct 2000: While MMIE is very effective at reducing training set error a keyissue is generalisation to test data. ... On other test setsimprovements greater than 1% absolute have also been obtained and.

8 Mar 2000: 9 26 142. Table 1: Training and test material available in broadcast news (min-utes) for music (M) background speaker (BGS), other background(BGO), music and speech (MS), narrow-band (T) ... The test set is split into shows available bothin training and

8 Mar 2000: news development test data andjust 15.8% on the 1997 evaluation test set. ... The OOV rate on both these test sets using the filteredtranscriptions was about 0.5%.

6 Nov 2000: ing in general) is the generalisation performance i.e. the dif-ference between training set and test set accuracy. ... Baseline Models and Hub5 Training/Test DataThree different training sets and three different test sets.

31 Jul 2000: nemea. Training data Average log2-prob (eciency). ICSI-test TIMIT-test. TIMIT 0.76! 0.60. ... derivation of the training transcrip-tions, and the hand-labelling of the test set.