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Multi-domain Neural Network Language Generation forSpoken Dialogue…
mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf20 Feb 2018: In order to assessthe subjective performance of our system, a qualitytest and a pairwise preference test are presented insection 8. ... b) Preference test on laptop to TV adaptation scenario. Table 3: Pairwise preference test among four ap-proaches in -
WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf9 Dec 2006: and probabilitiesFind Ngram rules. human transcriptionand diarisation. (optional)assign categories. test datatraining data. ... Rules whose probability ex-ceeds a threshold are then applied to the test data. -
DEVELOPMENT OF THE CUHTK 2004 RT04F MANDARIN CONVERSATIONALTELEPHONE…
mi.eng.cam.ac.uk/~mjfg/rt04f_mandarin.pdf23 Dec 2004: For this work both the dev04 and eval03 test sets were usedfor development. ... The new LM gave 1.1%absolute reduction in CER on the dev04 test set. -
LARGE SCALE MMIE TRAINING FOR CONVERSATIONALTELEPHONE SPEECH…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_stw00.pdf5 Oct 2000: 4 IMPROVING MMIE GENERALISATION. An important issue in MMIE training is the ability to generalise tounseen test data. ... The results of these experiments on both theeval97sub and eval98 test sets are shown in Table 4. -
Version IB/2 3 (a) This network follows a typical ...
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Examples/exam/4F12_2023_CRIB.pdf23 Oct 2023: B = 1, otherwise. is a margin parameter. At test time the a single image is used to obtain its embedding vector and find thenearest neighbour in the database of the embedding ... Only the the deconvolution layer parameters are trained. Test use. At test -
The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…
mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf8 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. -
Machine Learning of Level and Progression in Spoken EAL ...
mi.eng.cam.ac.uk/~kmk/presentations/CEP_Feb2016_Knill.pdf12 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. • -
Word-Based Dialog State Trackingwith Recurrent Neural Networks…
mi.eng.cam.ac.uk/~sjy/papers/hety14.pdf20 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. -
Machine Learning of Level and Progression in Second/Additional…
mi.eng.cam.ac.uk/~kmk/presentations/UBham_May2016_Knill.pdf12 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. • -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS K. Yu and M.J.F. ...
mi.eng.cam.ac.uk/reports/svr-ftp/yu_icassp2004.pdf18 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. -
THE CAMBRIDGE UNIVERSITY SPOKEN DOCUMENT RETRIEVAL SYSTEM S.E.…
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_icassp99.pdf8 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. -
DESIGN OF FAST LVCSR SYSTEMS G. Evermann & P.C. ...
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_asru2003.pdf23 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. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/FI224_ResearchTPAs 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 -
Abstract for smith_bmvc1999
mi.eng.cam.ac.uk/reports/abstracts/smith_bmvc1999.html27 Jul 2020: An implementation is outlined and demonstrated on test sequences containing two motions. -
Abstract for johnson_trec7
mi.eng.cam.ac.uk/reports/abstracts/johnson_trec7.html27 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 -
Abstract for smith_bmvc1998
mi.eng.cam.ac.uk/reports/abstracts/smith_bmvc1998.html27 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 -
Abstract for williams_nips2004
mi.eng.cam.ac.uk/reports/abstracts/williams_nips2004.html27 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. -
Improving Retrieval on Imperfect Speech Transcriptions
mi.eng.cam.ac.uk/reports/full_html/jourlin_sigir99.html/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. -
Abstract for woodland_icslp96
mi.eng.cam.ac.uk/reports/abstracts/woodland_icslp96.html27 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. -
Abstract for leggetter_icslp94
mi.eng.cam.ac.uk/reports/abstracts/leggetter_icslp94.html27 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 -
Abstract for gales_tr263
mi.eng.cam.ac.uk/reports/abstracts/gales_tr263.html27 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. -
Abstract for cham-cipollaPAMI99
mi.eng.cam.ac.uk/reports/abstracts/cham-cipollaPAMI99.html27 Jul 2020: A comparison of test results show that it outperforms one of the best existing methods. -
Abstract for woodland_icassp96
mi.eng.cam.ac.uk/reports/abstracts/woodland_icassp96.html27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests. -
Abstract for niesler_tr215
mi.eng.cam.ac.uk/reports/abstracts/niesler_tr215.html27 Jul 2020: of tests on the LOB corpus to yield very good tagging accuracies. -
Abstract for hain_icassp99
mi.eng.cam.ac.uk/reports/abstracts/speech/hain_icassp99.html27 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. -
Abstract for clarkson_icassp97
mi.eng.cam.ac.uk/reports/abstracts/clarkson_icassp97.html27 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 -
Abstract for housden_tr587
mi.eng.cam.ac.uk/reports/abstracts/biomed/housden_tr587.html27 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. -
Abstract for woodland_lvcsr01
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_lvcsr01.html27 Jul 2020: Results are presented for the 2001 development and evaluation test sets. -
MultiMedia Document Retrieval (1997-2000)
mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/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) -
Abstract for rohling_firstyear
mi.eng.cam.ac.uk/reports/abstracts/rohling_firstyear.html27 Jul 2020: Initial tests show that measurement errors, including image artifacts, are significant enough to obscure and distort diagnostically important information. -
Abstract for arandjelovic_OTCBVS06
mi.eng.cam.ac.uk/reports/abstracts/arandjelovic_OTCBVS06.html27 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. -
Abstract for donovan_thesis
mi.eng.cam.ac.uk/reports/abstracts/donovan_thesis.html27 Jul 2020: The segmental intelligibility was measured using the Modified Rhyme Test, and a 5.0% error rate obtained. -
Abstract for woodland_arpa96
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_arpa96.html27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests. -
Abstract for lovell_neocognitron
mi.eng.cam.ac.uk/reports/abstracts/lovell_neocognitron.html27 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 -
Abstract for holden_tr161
mi.eng.cam.ac.uk/reports/abstracts/holden_tr161.html27 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. -
Abstract for blackburn_thesis
mi.eng.cam.ac.uk/reports/abstracts/blackburn_thesis.html27 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 -
The Cambridge University Spoken Document Retrieval System
mi.eng.cam.ac.uk/reports/full_html/johnson_icassp99.html/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. -
Abstract for niesler_thesis
mi.eng.cam.ac.uk/reports/abstracts/niesler_thesis.html27 Jul 2020: A technique that optimises the length of individual n-grams is proposed, and experimental tests show it to lead to improved results. -
Abstract for navaratnam_hierarchical
mi.eng.cam.ac.uk/reports/abstracts/navaratnam_hierarchical.html27 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. -
CUHTK Brodacast News English Recipe
mi.eng.cam.ac.uk/~mjfg/private/CUHTK-BNE-Recipe/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 | -
Prediction of Total and Regional Body Composition from 3D ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2024-4-Body-composition.pdf23 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 -
Abstract for oa214_CVPR_2005_paper2
mi.eng.cam.ac.uk/reports/abstracts/oa214_CVPR_2005_paper2.html27 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 -
The CUHTK-Entropic 10xRT Broadcast News Transcription System
mi.eng.cam.ac.uk/reports/full_html/odell_darpa99.html/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. -
The Cambridge University March 2005 Speaker Diarisation System
mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/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. -
LARGE SCALE MMIE TRAINING FOR CONVERSATIONAL TELEPHONE SPEECH…
mi.eng.cam.ac.uk/reports/full_html/woodland_stw00.html/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). -
The Three Point Bend Test1 Beam theoryThe three point ...
mi.eng.cam.ac.uk/IALego/bender_files/bend_theory.pdf1 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 -
Who Really Spoke When? Finding Speaker Turns and Identities in…
mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/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. -
References [1] Control-DAG: Constrained decoding for…
mi.eng.cam.ac.uk/~wjb31/PUBS/29 Apr 2024: Extensive experiments demonstrate the superiority of our approach breaking the across diverse LLMs and test settings. ... One possible approach to this problem uses sub-character decomposition for training and test sentences. -
Segment Generation and Clustering in the HTK Broadcast News…
mi.eng.cam.ac.uk/reports/full_html/hain_darpa98.html/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. -
testcard.fig
mi.eng.cam.ac.uk/IALego/TV_files/testcard.pdf1 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.
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