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Evaluation of Statistical POMDP-basedDialogue Systems in Noisy…
mi.eng.cam.ac.uk/~sjy/papers/ybgh14.pdf20 Feb 2018: Contrasts marked are statisticallysignificant (p < 0.05) using a Kruskal-Wallis rank sum test. ... Test System Num Objective Success Rate Perceived Average WERDialogs Partial Full Success Rate Turns. -
Neural Belief Tracker: Data-Driven Dialogue State Tracking Nikola…
mi.eng.cam.ac.uk/~sjy/papers/mowt17.pdf20 Feb 2018: The training data con-tains 2207 dialogues and the test set consistsof 1117 dialogues. ... For goals, the gains are always statis-tically significant (paired t-test, p < 0.05). Results that match 1 of 2 words
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Simplifying very deep convolutional neural network architectures for…
mi.eng.cam.ac.uk/UKSpeech2017/posters/j_rownicka.pdf3 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. -
Impact of ASR Performance on Free Speaking Language Assessment ...
mi.eng.cam.ac.uk/~ar527/knill_is2018.pdf15 Jun 2018: This form of test allows the spoken language pro-ficiency of a non-native speaker of English to be assessed morefully than read aloud tests. ... The BULATS test comprises 5 sections:A. short responses; B. read aloud sentences; C-E. -
ADAPTATION OF AN EXPRESSIVE SINGLE SPEAKER DEEP NEURAL NETWORKSPEECH…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2018-ICASSP-speaker-adaptation.pdf3 May 2018: Test subjectswere asked to assess the quality of the speech on a 1-5 scale. ... 10 test subjectswere used. Models A and B are compared and models A and C arecompared. -
Towards Automatic Assessment of Spontaneous Spoken English Y.…
mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ALTA_SpComm2017.pdf12 Sep 2018: computed over all the test sectionswhere the candidate is required to produce spontaneousspeech. ... xN}, what is the best estimate of thevalue of the function at test point x. -
Automatic speech recognition formedia monitoring in SUMMA Peter Bell, …
mi.eng.cam.ac.uk/UKSpeech2017/posters/p_bell.pdf3 Jul 2018: Current results on SUMMA test sets. Language Word Error Rate† (%)English (MGB Challenge) 26.1Arabic (MGB Challenge) 14.7German 34.6Russian 40.0. ... Work is ongoing to transcribe test sets for the remaining languages. -
An attention based model for off-topic spontaneous spoken response ...
mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf15 Jun 2018: Data from the Business Language Testing Service(BULATS) English tests was used for training and test. ... To avoid a data mismatch,the recognition hypothesis was used both in training and test. -
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-MVA-Conde.pd…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-MVA-Conde.pdf13 Mar 2018: 418. 2. DATA ACQUISITION SETUP In order to develop the tests here exposed, a set of 3D facial data have been acquired. ... The processing time was shorter than ten seconds even for the worst situation met during test step. -
sigdial11_sdc10-Feb27-V2
mi.eng.cam.ac.uk/~sjy/papers/bbch11.pdf20 Feb 2018: This paper presents the results of the live tests, and compares them with the control test results. ... Some interesting differences between the sys-tems are evident in the live tests.
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