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1 - 10 of 18 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 18 match some words.

  1. Results that match 1 of 2 words

  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. MORPH-TO-WORD TRANSDUCTION FOR ACCURATE AND EFFICIENT AUTOMATICSPEECH …

    mi.eng.cam.ac.uk/~ar527/ragni_icassp2017a.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.

  7. 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

  8. 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.

  9. 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,

  10. 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,

  11. 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.

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