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DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL TELEPHONESPEECH …
mi.eng.cam.ac.uk/~mjfg/gales_ICASSP05.pdf22 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. -
Effects of Out of Vocabulary Words in Spoken Document ...
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_sigir00.pdf10 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. -
BAYESIAN DIALOGUE SYSTEM FOR THE LET’S GO SPOKEN DIALOGUE ...
mi.eng.cam.ac.uk/~sjy/papers/tykg10.pdf20 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. -
A Clustering Approach to Semantic Decoding Hui Ye and ...
mi.eng.cam.ac.uk/~sjy/papers/yeyo06b20 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 -
THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...
mi.eng.cam.ac.uk/~mjfg/sinha_ICASSP06.pdf22 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. -
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. • -
Mark Gales - Publications
mi.eng.cam.ac.uk/~mjfg/publications.v1.html20 Dec 2011: Phonetic Pronunciations for Arabic Speech-to-Test Systems. ICASSP 2008. C. Longworth and M.J.F. -
Use of Deep Learning in Free Speaking Non-native English Assessment
mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/TSD2021_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. ... 5/56. Spoken Language Assessment & -
Paper Preparation and Submission Instructions for EUSIPCO 2004
mi.eng.cam.ac.uk/~sjy/papers/poyo06.pdf20 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 -
A PLSA-based Language Model for Conversational Telephone Speech David …
mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp04.pdf10 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).
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