Search

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. •

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. •

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).

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 &

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.

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. •

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.

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

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.

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: 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.