Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
1 - 10 of 26 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 26 match some words.

  1. Results that match 1 of 2 words

  2. Automatic Grammatical Error Detection of Non-native Spoken Learner…

    mi.eng.cam.ac.uk/~kmk/presentations/ICASSP2019_GED_Knill.pdf
    30 Sep 2019: 10000. 15000. 20000. 25000. 0%. 5%. 10%. 15%. 20%. 25%. 30%.

  3. BI-DIRECTIONAL LATTICE RECURRENT NEURAL NETWORKSFOR CONFIDENCE…

    mi.eng.cam.ac.uk/~ar527/ragni_icassp2019.pdf
    5 Feb 2019: Numerous hand-crafted fea-tures have been proposed [20, 21, 22, 23]. In the simplest case, du-ration and word posterior probability can be used as input features.More complex features ... 20] T. Schaaf and T. Kemp, “Confidence measures for

  4. CONFIDENCE ESTIMATION AND DELETION PREDICTION USINGBIDIRECTIONAL…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/SLT2018_ragni.pdf
    31 Aug 2019: 10. 20. 30. 40. 0.9. 0.8. 0.7. 0.6. Data (%). WE. ... thresholding scheme generalised better to the wide-band data. 0 20 40 60 80 1000.

  5. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~kmk/presentations/ALTA_Sheffield_20190306.pdf
    8 Mar 2019: 400 hour BULATS training set. 20. AM LM % WER.

  6. SEQUENCE TEACHER-STUDENT TRAINING OF ACOUSTIC MODELS FOR…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/wang_slt18.pdf
    25 Feb 2019: se-quence training can often yield significant performance gains [20].Thus, sequence-level criteria have been introduced into the TS train-ing framework. ... System Target %WERPolish Arabic Viet. French Thai Dutch OverallTS En-graph 20.8 31.4 32.2 22.4 30

  7. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~kmk/presentations/APSIPA2019_Knill_Keynote.pdf
    21 Nov 2019: 20/45. Assessment: Gaussian Process [14, 16]. • Gaussian process• non-parametric model based on joint-Gaussian assumption. • ... 16-20, 2017, 2017, pp.

  8. LEARNING BETWEEN DIFFERENT TEACHER AND STUDENT MODELS IN ASR ...

    mi.eng.cam.ac.uk/~mjfg/ALTA/ASRU2019_TS.pdf
    20 Dec 2019: Furthermore, sequence-level training often yields abetter performance than frame-level training when training towardthe reference transcriptions [20]. ... The diagonal-covariance GMM for AMI-IHM had 20 mixture components perstate and used 13-dimensional

  9. BI-DIRECTIONAL LATTICE RECURRENT NEURAL NETWORKSFOR CONFIDENCE…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ICASSP2019_li.pdf
    31 Aug 2019: Numerous hand-crafted fea-tures have been proposed [20, 21, 22, 23]. In the simplest case, du-ration and word posterior probability can be used as input features.More complex features ... 20] T. Schaaf and T. Kemp, “Confidence measures for

  10. To appear Proc. ICASSP. c©2019 IEEE. Personal use of ...

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/Knill_ICASSP2019_AcceptedPaper.pdf
    3 Mar 2019: Section E is made up of 5x 20 second responses tosub-questions related to an overall topic e.g. ... 20, pp. 37–46, 1960. [15] Mary L. McHugh, “Interrater reliability: the kappa statistic,”Biochemia Medica, vol.

  11. IMPROVED AUTO-MARKING CONFIDENCE FOR SPOKEN LANGUAGE ASSESSMENT M.…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/vecchio_slt18.pdf
    25 Feb 2019: p(x|z,θ) = N(x|fµ(z|θ),fΣ(z|θ)), (20). where fµ(z|θ) and fΣ(z|θ) are the outputs of the DDN,which is parametrised by ... 5769–5779. [20] Lucy Chambers and Kate Ingham, “The BULATS On-line Speaking Test,” Research Notes, vol.

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.