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  2. UK Speech Conference 2017

    mi.eng.cam.ac.uk/UKSpeech2017/
    17 Nov 2017: Notification of acceptance: 25 August, 2017. Registration: 20 June - 6 September, 2017. ... The department is 5-15 minutes by taxi (depending on traffic) or about 20 minutes walk from the railway station.
  3. Deep Learning for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/LxMLS17.pdf
    29 Nov 2017: 39/57. Example “Generative” Acoustic Model [20]. understand the CLDNN architecture are presented in Section 4. ... Learning Internal Representations by Error Propagation, pp.318–362. [20] T. N. Sainath, O.
  4. STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION ANDKEYWORD…

    mi.eng.cam.ac.uk/~ar527/ragni_icassp2017b.pdf
    22 Mar 2017: Keyword search is performed using joint decod-ing lattices pruned to yield on average 20,000 arcs. ... 20] D. Palaz, M. Magimai.-Doss, and R. Collobert, “Analysis ofcnn-based speech recognition system using raw speech as in-put,” in Interspeech, 2015.
  5. IB-interestpoints.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-IB-handout2.pdf
    18 May 2017: Sig. nal. Sigma = 20. As σ increases, the signal is smoothed more and more, and. ... 20 Engineering Part IB: Paper 8 Image Matching. Correlation. The normalized cross-correlation function measures how.
  6. UK Speech Conference 2017 Programme

    mi.eng.cam.ac.uk/UKSpeech2017/programme.html
    23 Dec 2017: Christine Evers, Imperial College. 14:50-15:20. CUED - LT1. ... 15:20-15:35. CUED - LR3A. Break (tea and coffee). 15:35-16:50. CUED - LR3.
  7. 22 Mar 2017: Another option is to create a phone index usingeither the original morph index or created word index [20]. ... 20] L. Mangu, B. Kingsbury, H. Soltau, Kuo H.-K., andM. Picheny, “Efficient spoken term detection using confusionnetworks,” in ICASSP, 2014.
  8. Low-Resource Speech Recognition and Keyword-Spotting

    mi.eng.cam.ac.uk/~mjfg/SPECOM_2017.pdf
    29 Nov 2017: 20/63. Phonetic vs Graphemic Performance. Language Id Script TER (%)Phon Grph CNCTok Pisin 207 Latin 40.6 41.1 39.4Kazakh 302 Cyrillic/Latin 53.5 52.7 51.5Telugu
  9. TEMPLATE DESIGN © 2008www.PosterPresentations.com Phase Processing…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/e_loweimi.pdf
    17 Nov 2017: 20. 30. 40. 50. 60. 70. 80. WE. R (. %). MFCCgMFCCBMFGDVTProposed. Robust Source-Filter Separation of Speech Signal in the Phase Domain. ... 0.40.30.20.10.00.10.20.30.40.5. τ VT. arg. [XMinPh]. arg. [XVT]. τ VT. Slide 1.
  10. Modular Construction of Complex Deep Learning Architectures in HTK

    mi.eng.cam.ac.uk/UKSpeech2017/posters/f_kreyssig.pdf
    20 Nov 2017: Architecture Width PER7L-RELU-MLP 500 21.439L-SELU-MLP 250 20.8021L-(FC)ResNet 250 20.37CNN 2048 for FC 20.123L-RELU-RNN 1024 18.543L-RELU-BDRNN 750
  11. Template.dvi

    mi.eng.cam.ac.uk/~ar527/chen_icassp2017a.pdf
    22 Mar 2017: keyword)is searched among all possible paths in lattices. The indexing andsearch of our KWS system are based on the weight finite state trans-ducer (WFST) framework [20, 21]. ... ICASSP, 2013. [20] Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark Gales,
  12. Experimental Studies on Teacher-student Training of Deep Neural…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/q_li.pdf
    20 Nov 2017: PER (%)7-layer (500) 24.55 23.55RNN 23.84 20.59Ensemble 23.73 20.34. Table 1: RNN and ensemble teacher models with a 3-layer (500)fully-connected student
  13. UKspeech2017

    mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf
    17 Nov 2017: 0. 20. 40. 60. 80. 100. % o. f Utte. ranc.
  14. The University of Birmingham 2017 SLaTE CALL Shared Task Systems

    mi.eng.cam.ac.uk/UKSpeech2017/posters/m_qian.pdf
    20 Nov 2017: 50% vs. 20%. • PF-STAR German: German children aged 10-13, 3.38 hours of read speech.Acoustic Model. •
  15. Genigraphics Research Poster Template A0/A1

    mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf
    17 Nov 2017: 20, no. 1, pp. 102-105, 2013. [4] T. Drugman and Y.
  16. An avatar-based system for identifying individuals likely to develop…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/b_mirheidari.pdf
    17 Nov 2017: Features• Conversation Analysis inspired[3]: 20 features,. e.g. patient answered me for who’s most concernedquestion, average number of empty words (CA is anapproach to study social interaction/ communicationability of
  17. A learned emotion space for emotion recognition and emotive speech…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/z_hodari_poster.pdf
    23 Dec 2017: Non-emotive 5.845 0.329 52.846 14.768. Listening test. • MUSHRA listening test, 16 screens, 20 participants• Copy synthesis reference: 100 rating for all samples.
  18. Template.dvi

    mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf
    22 Mar 2017: keyword)is searched among all possible paths in lattices. The indexing andsearch of our KWS system are based on the weight finite state trans-ducer (WFST) framework [20, 21]. ... ICASSP, 2013. [20] Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark Gales,
  19. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-2.pdf
    18 May 2017: P (i) log Q(i). P0.000.05. 0.10. 0.15. 0.20. 0.25. 0.30. 0.35. ... 1.00E-01. 0 2 4 6 8 10 12 14 16 18 20.
  20. MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …

    mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Morph-To-Word.pdf
    22 Mar 2017: Another option is to create a phone index usingeither the original morph index or created word index [20]. ... 20] L. Mangu, B. Kingsbury, H. Soltau, Kuo H.-K., andM. Picheny, “Efficient spoken term detection using confusionnetworks,” in ICASSP, 2014.
  21. STIMULATED TRAINING FOR AUTOMATIC SPEECH RECOGNITION ANDKEYWORD…

    mi.eng.cam.ac.uk/~mjfg/CUED-Ragni-Stimulated-ASR-KWS.pdf
    22 Mar 2017: Keyword search is performed using joint decod-ing lattices pruned to yield on average 20,000 arcs. ... 20] D. Palaz, M. Magimai.-Doss, and R. Collobert, “Analysis ofcnn-based speech recognition system using raw speech as in-put,” in Interspeech, 2015.

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