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  2. A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION

    mi.eng.cam.ac.uk/~mjfg/icassp15-ragni.pdf
    18 May 2015: Such an approach could not only re-duce development costs for each new language but also provide au-tomatic means for language analysis. ... Each language l =1,. ,L defines a new cluster. Trees for non-bias clusters are ini-tialised to have zero mean
  3. lect4.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect4.pdf
    10 Nov 2015: We would. like a new estimate so that for the parameters at the k 1th. ... log-likelihood of the complete dataset in terms of the new. model parameters, θ(k1),.
  4. 3 Jun 2015: Wescrape text from multiple genres including blogs, online news,translated TED talks, and subtitles. ... source. Some of the sources were multilingual, suchas TED talks, and others were single language, such as blogsand news sources.
  5. 6 Apr 2015: Such an approach could not only re-duce development costs for each new language but also provide au-tomatic means for language analysis. ... Each language l =1,. ,L defines a new cluster. Trees for non-bias clusters are ini-tialised to have zero mean
  6. Improving Speech Recognition and Keyword Searchfor Low Resource…

    mi.eng.cam.ac.uk/~mjfg/interspeech15-mendels-babel.pdf
    9 Oct 2015: Wescrape text from multiple genres including blogs, online news,translated TED talks, and subtitles. ... source. Some of the sources were multilingual, suchas TED talks, and others were single language, such as blogsand news sources.
  7. 3 Jun 2015: The acoustic log-likelihoods fromthe tandem GMM acoustic model and hybrid DNN are linearlycombined as new acoustic scores, which are used in the Viterbidecoding process. ... Tyagi, “New entropy based combi-nation rules in HMM/ANN multi-stream ASR,”
  8. lect4.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect4_pres.pdf
    10 Nov 2015: We wouldlike a new estimate so that for the parameters at the k 1th. ... dzi. The second term is not dependent on the new model param-eters, the distribution of zi is known.
  9. lect8.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect8_pres.pdf
    20 Nov 2015: Support Vector Machines For Texture Classification. • ewsRec, a SVM-driven Personal Recommendation Sys-tem for News Websites. •
  10. Association Between Femur Size and a FocalDefect of the ...

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr696.pdf
    3 Feb 2015: InSection 4, we discuss some important details of the methodology and also how the results shed new light onthe mechanisms by which femur size affects fracture risk.
  11. Joint Decoding of Tandem and Hybrid Systems for Improved ...

    mi.eng.cam.ac.uk/~mjfg/interspeech15-wang-babel.pdf
    9 Oct 2015: The acousticlog-likelihoods from the tandem GMM acoustic model and hy-brid DNN are linearly combined as new acoustic scores, whichare used in the Viterbi decoding process. ... Tyagi, “New entropy based combi-nation rules in HMM/ANN multi-stream ASR,”

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