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

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

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

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

21 Feb 2022: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... NICT Japanese Learner English (JLE) • Manual transcription of interviews from English oral proficiency test. •

22 Nov 2006: The final un-adapted performance on the dev04PE test set was 41.6%. ... Table 5 shows the effect of theuse of an automatic segmenter on the dev04 test data.

20 Feb 2018: During the control tests, each site taking partin the challenge was asked to find test volunteers. ... Table 2. Overall performance for the Lets Go! spoken dia-logue challenge control tests.

20 Feb 2018: There were in total47 distinct semantic slots. To parse a test sentence, it was first preprocessed to apply thesame lexical class substitution as used in training, then aligned toeach of the ... 4.2. Results. The Y-clustering approach was tested using

22 Nov 2006: The finalsystem shows state-of-the-art performance over a range of test sets. ... This approach was not found to perform reliably across differ-ent types of test data.

20 Feb 2018: Reducingthenumber of system components leads to a simpler architecturethat iseasier to implement and test. ... Table 4. Analysis of detected speech segments using V2 and A2models on noisy test setGM2b.

20 Feb 2018: The aim of this test was to formally evaluate the reduction of breathiness observed in TE speech following glottal source replacement. ... All subjects were naïve raters, unfamiliar with TE speech. Results of the pair-wise perceptual tests are

1 Jan 2024: The relevant properties can be established by taking soil samples on site andperforming a series of tests, thus enabling engineers to design safely.

20 Feb 2018: Altogether 21 listeners, 11 native and 10 non-native,participated in the listening test. ... Statistical significance tests were performed assuming a bino-mial distribution of each choice.

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

10 Jan 2005: gram. The reduction is greater if PLSA’straining text relates to the test set. ... The test set perplexities were calculated on the re-maining half of eval03 (eval03tst).

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.

20 Feb 2018: The set of possi-ble values for each slot was different in the test set, which alsoincluded extra slots. ... A summary of the difference between thesmaller training domain and extended test domain of DSTC3is given in table 1.

20 Feb 2018: 1. English STC baseline tested on the English test set asreported in [6]. ... Table 2: BLEU scores [?] over the test set translated usingGoogle Translate and Moses.

21 Feb 2022: Automate (English) spoken language assessment & learning• without simplifying/limiting form of test: “free speaking”• possibility for richer, interactive, tests• desire to assess communication skills. ... 5/56. Spoken Language Assessment &

20 Feb 2018: Section 4 presents the results of bothobjective and subjective tests. Conclusions then follow. ... 4.2. Subjective listening tests. The previous objective measures show useful comparison infor-mation.

20 Dec 2011: Phonetic Pronunciations for Arabic Speech-to-Test Systems. ICASSP 2008. C. Longworth and M.J.F.

14 Sep 2010: All three test sets, A, B and C,were used for evaluating the schemes. ... This work used three of the test sets containing digit. sequences (phone numbers).

22 Jun 2007: Table 3 shows the P1-P2 perfor-mance3 of these baseline models on the BC and BN tests sets. ... Table 6. Unadapted %CER onbcmdev05. The models were then evaluated on the BC test set,bcmdev05.

20 Feb 2018: test set. Although this biased the NOV93 results, later analysis showed that the. ... DEC94 test sets. The resulting noisy speech utterances had signal-to-noise ratios.

20 Feb 2018: Two tailed z-tests at the 95% confidence levelwere used to test the statistical significance of the differencebetween the success rates. ... The use of the AMT workers is substantially more efficientwhen compared to a controlled test.

19 Jun 2023: Feedback 140. Speech Processing. 21. Free speaking prompt-response tests – speak for up to 1 minute. ... INTERSPEECH 2020. • S. McKnight et al, “Automatic Assessment of Conversational Speaking Tests”, UK Speech C.

13 Jun 2013: As the test data was Levantine Arabic,there is little appropriate data for training language models. ... Forthis work all the clean Levantine Arabic transcriptions, exclud-ing the dev1 test data, was used.

16 Jun 2008: During recognition the following procedure is used:1. Compensate the acoustic models for the test noise con-. ... dition2. Recognise the test utterance Y to obtain 1-best hypoth-. esis, h = h1,. ,

15 Aug 2007: Thispaper shows that multistyle models benefit from VTS compensationor Joint uncertainty decoding by reducing the mismatch betweentraining and test. ... Figures are reported against thedev03 test set encompassing3 hours of shows from six different news

10 Jan 2005: NIST,. Benchmark Tests : Rich Transcription (RT),.

30 Sep 2019: NICT-JLE: oral proficiency test interviews. • CLC: range of written exams at different grade levels. ... 10. Boosting GED Performance on Spoken BULATS. 11. • Fine-tune CLC system with 80% data, dev 10%, test 10% x10. •

20 Feb 2018: natural example from each wave file pair. Altogether 16 listeners, 8native and 8 non-native, participated in the listening test. ... The resultis shown in Fig. 4. Statistical significance tests were performed assuming a bino-mial distribution of each

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.

20 Feb 2018: He & Youngdetail the test data extraction process in [3]. Since the ATIS databaseis relatively large, all categories are treated as non-enumerable.1. ... over results reportedby He & Young using the HVS model on the same test set [4], but1.4% lower

20 Feb 2018: The training data had 276K words in 23K sentences while both the developmental set and the test set consisted of 10K words in 1K sentences. ... All sentences that contained out-of-vocabulary words were removed from the test set.

20 Feb 2018: The aim of the experiment was to test the robustness and performance of a spoken dialogue system in a moving car. ... The resulting speech database was further split into a training set (60%) and a test set (40%).

21 Sep 2006: A detailed report of this test can be found in ourprevious work [10]. ... 20.2 fps).Figure 3 illustrates the recognition process on a typical test-ing clip.

21 Feb 2022: 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 &

20 Feb 2018: It is also important that theparticipants do not interact before the test is started. ... The con-fusion matrix can be trained on phone-labelled test output datafrom an ASR system.

24 Jul 2003: Backchannels not labelled separately in the training data.• Only the test data has reference ctm/mdtm files. - ... Bigram SULMs give largest reductions in %Err when combined with the PFM(using the current training and test data!). •

19 Nov 2010: The two forms of modified tail distribution modelling were inves-tigated on the 1998 Hub4 partitioned evaluation test set. ... The test was performed on a subset of the 1997 par-titioned evaluation that was used for development [4].

12 Apr 2005: For MLLR mean adaptation, a. SystemAdapt Test Set WER (%)Config eval03 dev04 dev04f. ... This system wasevaluated on botheval03 and dev04 test sets and comparedwith the SATDIAGC system.

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.

8 Sep 2010: Test set A was used as the development set for tuningparameters for all systems, such as the penalty factor Cfor SVMs. ... The integratedtraining yielded a 9% reduction in error rate. The full results for all three test sets are shown in TableII.

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.

13 Aug 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.