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31 Jul 2000: Pronunciation modeling by sharing Gaussians 141. TABLE I. WER degradation with speaking style on theMULTI-REG test set. ... Steps (6), (3), (4) and (5) arethen carried out in that order to estimate and test a matched pronunciation model.

26 Sep 2005: Here. P (šn|xt, M̌) P (šn|yt, M̌) (10)the model M̌ is now matched to the test condition rather. ... All results are quotedaverage of three of the four available test sets, Feb’89,89 and Feb’91.

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: Steps 6, 3, 4 and 5 are then carried out to estimateand test a pronunciation model. ... in Step 5 (Test) PER WER PER WERNone (Dictionary) 49.1% 49.1% 49.5% 58.9%Tree Pron.

3 Apr 2006: In [14], error is computed using a“leave-one-out” test rather than with completely new testdata. ... A leave-one-out test for gaze-tracking data with theS3GP gives an error of 0.68.

23 Nov 2003: It seems that some form of single stage regressionmight be more powerful, both for dealing with the rangeof variation of test examples, and for correctly modellingstatistical variability. ... Forefficiency, this test is made only every M frames (in

21 Sep 2006: The parameters for both methods are setby testing the classification performance on a test setof 5000 images. ... In a first approach,the edge and colour cost terms are computed for a numberof test images.

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

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.

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.

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 Jan 2024: The Three Point Bend Test1 Beam theoryThe three point bend test (Figure 1) is a classical experiment in mechanics, used tomeasure the Young’s modulus of a material in the shape ... Figure 1: Schematic of the three point bend test (top), with graphs

5 Oct 2000: An important issue in MMIE training is the ability to generalise to unseen test data. ... Tests were performed on both the eval97sub and the 1998 evaluation set (eval98).

9 Dec 2006: Rules with probability over a certain threshold are run simultaneously on the test data. ... Rules whose probability exceeds a threshold are then applied to the test data.

3 Jul 2018: MGB-3 dev set (5 h). MGB-1 test set (19 h). Results: Aurora4. ... contributed most to the performance gains in our experiments, especially fornoisy test data.

17 Nov 2017: 3. Experimental Results: Automatic Speech Recognition. Data from Business Language Tests (BULATS)I Up to 1 minute spontaneous responses to promptsI ASR training data: 100 hours Gujarati L1 English speechI Test ... Data from Business Language Tests (BULATS

1 Mar 2000: BG corr. %M corr. %Correct. %Loss. train/test. 66.26. 97.04. 97.54. 0.03. ... The test set is split into shows available both in training and test and test only.

1 Jan 2024: G H I J K L. S T U V W X. Y Z 1 2 3 4. 5 6 7 8 9 0! > < ( ). [ ] $ #. A B C D E F.

12 Oct 2000: While MMIE is very effective at reducing training set error a key issue is generalisation to test data. ... It was found that two iterations of MMIE re-estimation gave the best test-set performance [19].

23 Dec 2017: cipan. t rat. ing. Figure 6: Ranksum test. Median rating & 95% confidence interval. ... Stimulation is added to improve interpretability• Evaluation is performed with a perceptual test.