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1 - 6 of 6 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 6 match some words.

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  2. UKspeech2017

    mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf
    17 Nov 2017: Eval{1,2,3} sets (about 13 hours) contain spontaneous speech from 200 speakers with Gujarati, LA Spanish and mixed L1s, respectively. ... 5. Parse Tree. 7. Conclusion. Trn3 set contains trn1 and 200 hours selected from the unsupervised set.

  3. TEMPLATE DESIGN © 2008www.PosterPresentations.com Phase Processing…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/e_loweimi.pdf
    17 Nov 2017: c) (d). 0 50 100 150Frame Index. 0. 100. 200. 300. ... 100. 200. 300. 400. Frequency. (H. z). k 0 = 3 k 0 = 5 k 0 = 7.

  4. Language Independent Bootstrapping for Automatic Speech Recognition…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/a_ragni.pdf
    17 Nov 2017: 403. 404. 50. 100. 150. 200. 250. 300. 350. 3762 7. ... I Cumulative state data usage statistics for 3-hour configuration (VLLP). 100 200 300 400 5000.

  5. summaOverviewPoster.key

    mi.eng.cam.ac.uk/UKSpeech2017/posters/s_renals.pdf
    17 Nov 2017: BBC Monitoring 200 journalists monitoring global audio, video, text news. Deutsche Welle Multilingual content generation and management.

  6. Comparison between Hessian Free and Natural Gradient training for DNN …

    mi.eng.cam.ac.uk/UKSpeech2017/posters/a_haider.pdf
    20 Nov 2017: Linear Conjugate Gradient. Experimental Setup. I Experiments used ASRU 2015 MGB challenge data.I Training set : 200 hr MGB1 training dataset.I Validation : the official MGB1 dev.sub set (5.5

  7. 4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...

    mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf
    23 Dec 2017: To builda speaker dependent lipreading system, we can use, for example, 800 utterances as trainingsamples and 200 as test samples. ... and we wouldtest on the 200 samples of speaker Y and vice versa.

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