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20 Feb 2018: For the test material 30 sentences froma tourist information enquiry application were used. ... This same text materialsas the above preference test were used for all the below.

20 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation.

27 May 2004: During training and test adaptation, a global in-terpolation weight was estimated and separate speech and silencetransforms were used for CMLLR. ... Using ST for test adaptation again yieldedabout the same as a GD system with CMLLR.

5 Apr 2016: English Broadcast News (BN) transcription task.Two distinct sets of test data are examined. ... The first from the BNtask, yields test data acoustically matched to the training data.

6 Nov 2008: In addition tobackground additive noise convolutional distortion was added to test set C. ... For all SNRsand test sets gains over the optimised VTS scheme were obtained.

20 Jan 2007: All the test sets comprise ofshows where a show is a broadcast of a TV or radio program. ... 3.4. Results. The tests were carried out on a BC test set (dev05bcm: 3 hours,30k words, 5 shows) and two BN test sets (eval04: 1.3 hours, 11kwords, 3

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.

20 Feb 2018: Theerror rates for all approaches are set so that the oracle error ratematches the test data. ... This is the kind of feature that the Corpus-level actKullback-Leibler divergence (CAKL) metric tests.

20 Jun 2023: Use CIFAR-100 for out-of-distribution (OOD) training data• evaluate performance in detecting OOD test samples• metric AUC (average 10 randomly initialised models 2σ).

21 Feb 2022: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... Use automatic grader • for grading practice tests/learning process • in combination with human graders. •

23 Mar 2004: Woodland: STT Overview. Measuring STT Progress. Current Test Sets : Traditional NIST speech recognition evaluation approach. • ... Progress Test Set : Fixed test set to eliminate test-set variability for trackingprogress towards program goals. •

24 Jul 2003: Baseline Acoustic Models: Results (I). • Development test setsBNeval98 two 1.5-hour data setsBNeval02 1-hour data setBNdev03 three hours of TDT-4 data from Jan ’01 transcribed by STT sites. • ... MLE baseline system– Add 3rd derivatives HLDA,

21 Nov 2019: Automate (English) spoken language assessment & learning• without simplifying/limiting form of test: “free speaking”• possibility for richer, interactive, tests• desire to assess communication skills. ... 4/45. Spoken Language Assessment &

12 May 2016: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... Use automatic grader • for grading practice tests/learning process • in combination with human graders. •

20 Feb 2018: dstc2 test - Evaluation dataset consisting of1117 dialogs collected using a dialog man-ager not seen in the labelled data. ... Table 2: Featured metrics on the test set for the 4 RNN trackers entered to the challenge.

12 May 2016: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... Statistical Parser Features. • Parser features from RASP system improve grades for written tests. •

18 Jun 2004: During training and test adaptation, aglobal interpolation weight was estimated and separate speech andsilence transforms were used for CMLLR. ... Using ST for test adaptation again yieldedabout the same as a GD system with CMLLR.

23 Sep 2003: For BN the test datais taken from radio and TV news shows (for example CNNHeadline News, ABC World News Tonight). ... The 2003 BNeval test set consists of 6 half-hour excerpts from Radio andTV broadcasts taken from February 2001.

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.

TPAs are economic, off-the-shelf, and they have several interesting properties. They can form flexible or rigid structures by means of existing fast-prototyping techniques and can be also used

27 Jul 2020: An implementation is outlined and demonstrated on test sequences containing two motions.

27 Jul 2020: The paper also presents results on a new set of 60 queries with assessments for the TREC-6 test document data used for development purposes, and analyses the relationship between recognition

27 Jul 2020: It is found that, in most cases, the commonly-used cross-correlation does not perform as well as some other measures, such as the chi squared test or the sum of

27 Jul 2020: Here we address the problem of contaminations (e.g. occlusion, shadows) in test images which have not explicitly been encountered in training data.

8 Mar 2000: This corpus spanned January to May 1997 and thus pre-dated the TREC-7 test data. ... 39.73. 44.15. Table 2: Average Precision on the TREC-7 SDR test collection with mean number of query terms in parenthesis.

27 Jul 2020: MLLR can also be used in an iterative fashion to refine the transcriptions of the test data and adapt models based on the current transcriptions.

27 Jul 2020: This allows successful adaptation on any amount of adaptation data. Tests on the RM1 database show that successful adaptation can be achieved with only 11 seconds of speech, and performance converges

27 Jul 2020: A comparison of test results show that it outperforms one of the best existing methods.

27 Jul 2020: Both these schemes require no a-priori thresholding information. An initial evaluation of the techniques was performed using data from the ARPA 1994 test data.

27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests.

27 Jul 2020: of tests on the LOB corpus to yield very good tagging accuracies.

27 Jul 2020: Front-end and language modelling experiments conducted using various training and test sets from both the Switchboard and Callhome English corpora are presented.

27 Jul 2020: In this paper, we present a technique to compensate for out-of-plane rotations, which we test using simulations and in vitro experiments.

27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the

27 Jul 2020: Results are presented for the 2001 development and evaluation test sets.

7 Oct 2001: The final HTK system yielded an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just 16.2% on the evaluation test set - ... Work on relevance feedback, both on the the test collection, and on a (larger)

27 Jul 2020: Initial tests show that measurement errors, including image artifacts, are significant enough to obscure and distort diagnostically important information.

27 Jul 2020: Our system achieved a high correct identification rate of 97% on a freely available test set of 29 individuals and extreme illumination changes.

27 Jul 2020: The segmental intelligibility was measured using the Modified Rhyme Test, and a 5.0% error rate obtained.

27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests.

27 Jul 2020: Tests of Fukushima's original system and the novel systems proposed in this paper suggest that the neocognitron is unable to achieve the rformance of existing digit classifiers due to its

27 Jul 2020: We discuss the best way in which to define an optimum architecture, and we then use various ideas from linear algebra to derive an algorithm, which we test experimentally.

27 Jul 2020: The system is evaluated on two test databases, one including speaker-specific X-ray training data and the other acoustic data alone, and improvements in word recognition accuracy are obtained in

8 Mar 2000: Two versions of the HTK system were used in the experiments on 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.

27 Jul 2020: A technique that optimises the length of individual n-grams is proposed, and experimental tests show it to lead to improved results.

27 Jul 2020: Experimental results show that the proposed technique produces good estimates of the human 3D pose on a range of test videos in a cluttered environment.

14 Jun 2004: Test Data. to be completed. For testing with some decoders (e.g. ... ge204@watch$ /home/solveb/hub5/htkbin/bin.i686/HRConvert.090302 /home/widowb/ears/bn-E/exp/eval98-test/hmms/hrconvert.cfg -a hmm164/MMF -b xwrd.clustered.mlist -c hmm164/RMF |

23 Apr 2024: DXA) rather than the mean betweenthe two methods. Mean differences/biases between the two methods were calculated and significance wastested against zero by paired t-tests. ... produced meshes that were comparably accurate to 3DOscans [29], by predicting

27 Jul 2020: subset; (ii) we include a pose refinement step to optimize the registration between the test image and face exemplar; and (iii) we use robust distance to a sub-space to allow

1 Mar 2000: On the 1998 test the system produced an average word error rate of 16.1% running in 9.5xRT. ... In tests the faster cache led to 6-8% faster decoder operation on a Xeon than on the equivalent Pentium II.