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1 - 10 of 222 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 222 match some words.

  1. Results that match 1 of 2 words

  2. RTSC MAGPHASE VOCODER: MAGNITUDE ANDPHASE ANALYSIS/SYNTHESIS FOR…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/f_espic.pdf
    19 Jan 2018: rate thanthe 200 frames-per-second typical in many sys-tems.

  3. A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf
    24 Jan 2018: Both models were implemented in Tensorflow [18] and contain two400 dimensional BiLSTM encoders with TanH non-linearities, 200for the forward states and 200 for the backward states. ... The binary classifier was a DNN with 2 hidden lay-ers of 200

  4. Intonation Modelling and Adaptation for Emotional Prosody Generation…

    mi.eng.cam.ac.uk/~sjy/papers/inyo05
    20 Feb 2018: 0.6 0.8 1 1.2 1.4 1.6 1.8 2150. 200. 250. f0. ... 39 39.5 40 40.5 41 41.5 42140. 160. 180. 200. 220.

  5. Incremental on-line adaptation of POMDP-based dialogue managers…

    mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf
    20 Feb 2018: Bearing in mind that the initial parts of. 1The performance deteriorated after 200 dialogues due to an in-crease in speech understanding errors. ... Table 2: Word error rate for different domainsDomain #Adaptation diags #Diags WERSFCore 200 399 15SF1Ext

  6. Using Wizard-of-Oz simulations to bootstrap…

    mi.eng.cam.ac.uk/~sjy/papers/wiyo03.pdf
    20 Feb 2018: 0. 50. 100. 150. 200. 1 2 3 4 5 6 7 8 9 10 11 12. ... basis. 0. 50. 100. 150. 200. 1 5 9 13 17 21 25 29 33.

  7. Multi-domain Dialog State Tracking using Recurrent Neural Networks…

    mi.eng.cam.ac.uk/~sjy/papers/mstg15.pdf
    20 Feb 2018: 0 200 400 600 800. 50. 55. 60. 65. In-domain InitialisationOut-of-domain Initialisation. ... 0 200 400 600 800. 40. 60. 80. In-domain InitialisationOut-of-domain Initialisation.

  8. Uncertainty management for on-line optimisation of a…

    mi.eng.cam.ac.uk/~sjy/papers/dgcg11.pdf
    20 Feb 2018: 4. -2. 0. 2. 4. 6. 8. 10. 12. 14. 0 200 400 600 800 1000.

  9. Domain-independent User Satisfaction Reward Estimation forDialogue…

    mi.eng.cam.ac.uk/~sjy/papers/ubcm17.pdf
    20 Feb 2018: As training data, the LEGO corpus [28] is used which con-sists of 200 dialogues (4,885 turns) from the Let’s Go bus infor-mation system [29]. ... Each turnof these 200 dialogues has been annotated with IQ (represent-ing the quality of the dialogue up

  10. PROBABLISTIC MODELLING OF F0 IN UNVOICED REGIONS IN HMM ...

    mi.eng.cam.ac.uk/~sjy/papers/ytgk09.pdf
    20 Feb 2018: 100 200 300 400 500 600 700 8000. 50. 100. 150. ... 200. 250. 300. Time index (ms) of "And then". F0. extr.

  11. acl2010.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gjkm10.pdf
    20 Feb 2018: 2. 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000.

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