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2 Mar 2000: The experiments reported here use the TREC-7 SDR test data. For this evaluation, the audio documents came from American broadcast radio and TV news programs which had been manually divided ... The five systems described in section 4.3 were evaluated on

5 Oct 2000: All experiments were performed on the test sets used in the September 1998 and March 2000 Hub5 evaluations (eval98 and eval00, respectively).. ... It can be seen that for the eval00 test set the unmapped posteriors perform much better than for the eval98

10 May 2000: The TREC-8 SDR test collection[1] usedfor the experiments consists of 21,754 spoken documentsand 49 written queries. ... expansion. Thisparallel collection was larger and thought to be more re-liable than the automatically transcribed test collection.

30 Mar 2000: This contains the TREC-8 SDR test collection period (Feb 1st to June 30th 1998). ... For development, the 100 hours of TREC-7 SDR test data was used.

2 Nov 2000: The full HUB-4 1997 evaluation test set was used to assess language model performance. ... Treating this as the baseline result to improve upon, statistical significance was tested by using the Wilcoxon signed-rank test at a 5% significance level..

8 Mar 2000: For speech transcription problems with widely varying speaker, channel and background conditions, such as broadcast news transcription, it is beneficial to include unsupervised test-data adaptation to individual speakers and data ... The inter-node costs

2 Mar 2000: During system development the BNeval97 test set was used. 4.1 Increased Acoustic Training Data. ... All these sources excluded data from the designated test epochs. This corpus was denoted LMtrain98.

27 Sep 2000: VTLN warping in training and test both for GI and GDmodels for full and reduced bandwidth coding. ... 8. ACKNOWLEDGEMENTS. We would like to thank BBN for providing the MiniTrain trainingand MTtest test set definitions.

17 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.

19 Apr 2000: The windows were compared to a library of windows stored from previous shows from the broadcaster (the broadcast history) [In theory all the data in the test collection could be used ... The amount of commercial rejection with the VOA data is low, due

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

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.

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.