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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. IEEE TRANS. ON ASLP, TO APPEAR, 2011 1 Continuous ...

    mi.eng.cam.ac.uk/~sjy/papers/yuyo11.pdf
    20 Feb 2018: 100 200 300 400 500 600 700 800 9000. 50. 100. ... 150. 200. 250. Time Index (ms) of the phrase "And then".

  3. 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.

  4. IEEE SIGNAL PROCESSING MAGAZINE [128] MAY 2010 This article ...

    mi.eng.cam.ac.uk/~sjy/papers/youn10.pdf
    20 Feb 2018: P (. Ang. le). –200 –150 –100 –50 0 50 100 150 200Angle.

  5. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/youn07
    20 Feb 2018: Springer Handbook on Speech Processing and Speech Communication 1. HMMS AND RELATED SPEECH RECOGNITION TECHNOLOGIES. Steve Young. Cambridge University Engineering DepartmentTrumpington Street, Cambridge, CB2 1PZ, United Kingdom. e-mail:

  6. PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1 ...

    mi.eng.cam.ac.uk/~sjy/papers/ygtw13.pdf
    20 Feb 2018: PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1. POMDP-based Statistical Spoken DialogueSystems: a Review. Steve Young, Fellow, IEEE, Milica Gašić, Member, IEEE, Blaise Thomson, Member, IEEE,and Jason D Williams, Member, IEEE. (Invited Paper).

  7. A Clustering Approach to Semantic Decoding Hui Ye and ...

    mi.eng.cam.ac.uk/~sjy/papers/yeyo06b
    20 Feb 2018: Table 2: Performance of template selection. (p=0.8). Y-clustering (p=0.8)#templates 200 400 600 800 1000 1827.

  8. yeyo06.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo06.pdf
    20 Feb 2018: from 50 to 200.

  9. yeyo05b.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo05b.pdf
    20 Feb 2018: NonNativeA: Chinese sentences 11-20 and 31-40 spoken bythe first 10 native English speakers, 200 utterances in to-tal.

  10. Latent Intention Dialogue Models Tsung-Hsien Wen 1 * Yishu ...

    mi.eng.cam.ac.uk/~sjy/papers/wmby17.pdf
    20 Feb 2018: For eachmodel, we collected 200 dialogues and averaged the scores.During human evaluation, we sampled from the top-5 in-tentions of the LIDM models and decoded a response basedon the

  11. williams2006IEEE.dvi

    mi.eng.cam.ac.uk/~sjy/papers/wiyo07b.pdf
    20 Feb 2018: IEEE TRANS. ON AUDIO, SPEECH & LANGUAGE PROCESSING, VOL? , NO? , MONTH? YEAR? 1. Scaling POMDPs for spoken dialog management. Abstract— Control in spoken dialog systems is challenginglargely because automatic speech recognition is unreliable

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