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The Development of the Cambridge University RT-04 Diarisation System
mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/10 Jan 2005: NIST,. Benchmark Tests : Rich Transcription (RT),. -
Real user evaluation of spoken dialogue systems using Amazon ...
mi.eng.cam.ac.uk/~sjy/papers/jkgm11.pdf20 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. -
UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/~mjfg/wang_ICASSP07.pdf22 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. -
system.dvi
mi.eng.cam.ac.uk/~sjy/papers/heyo06.pdf20 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. -
Tue.P5b.03 Model-based Approaches for Degraded Channel Modelling in…
mi.eng.cam.ac.uk/~mjfg/gales_is2012.pdf13 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. -
Discriminative Classifiers with Generative Kernels for Noise Robust…
mi.eng.cam.ac.uk/~mjfg/gales_INTER08.pdf16 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,. , -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_ICASSP07.pdf15 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 -
Kate Knill ALTA Institute, Cambridge University Engineering…
mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/Knill_UKSpeech2023_Keynote.pdf19 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. -
WORD-LEVEL EMPHASIS MODELLING IN HMM-BASED SPEECH SYNTHESIS K. Yu, ...
mi.eng.cam.ac.uk/~sjy/papers/yumy10.pdf20 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 -
SPOKEN LANGUAGE UNDERSTANDING FROM UNALIGNED DATA USINGDISCRIMINATIVE …
mi.eng.cam.ac.uk/~sjy/papers/mgjk09.pdf20 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 -
is-05-hvs6_final
mi.eng.cam.ac.uk/~sjy/papers/seyo05.pdf20 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. -
Tsiakoulis_Pirros_1293
mi.eng.cam.ac.uk/~sjy/papers/tghp12.pdf20 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%). -
Automatic Grammatical Error Detection of Non-native Spoken Learner…
mi.eng.cam.ac.uk/~kmk/presentations/ICASSP2019_GED_Knill.pdf30 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. • -
THE 1998 HTK SYSTEM FOR TRANSCRIPTION OFCONVERSATIONAL TELEPHONE…
mi.eng.cam.ac.uk/reports/svr-ftp/hain_icassp99.pdf27 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. -
A Framework for Dialogue Data Collection with a Simulated ...
mi.eng.cam.ac.uk/~sjy/papers/stwy04.pdf20 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. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/richter_EURO99.pdf19 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]. -
C:/SFWDoc/Academic/Publications/2006/ICPR_2006/Final_ContGest/icpr_200…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_icpr06a.pdf21 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. -
Applying Deep Learning in Non-native Spoken English Assessment
mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf21 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 & -
1 Structured Log Linear Models for Noise RobustSpeech Recognition ...
mi.eng.cam.ac.uk/~mjfg/zhang10.pdf8 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. -
ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…
mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf12 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.
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