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1 - 10 of 14 search results for news |u:mi.eng.cam.ac.uk

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  2. Phil Woodland - Professor of Information Engineering

    mi.eng.cam.ac.uk/~pcw/
    19 Apr 2016: Current & New Research Projects.

  3. Segment Modelling Interest Group

    mi.eng.cam.ac.uk/~ar527/smig.html
    24 Jun 2016: This colloboration has two primary aims:. conduct new research in the area.

  4. Knill_IS2014_slides.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/Interspeech2014_Sep14_Knill.pdf
    12 May 2016: Cambridge University Engineering Department. Interspeech 2014. IARPA Babel Program. • Goal - rapidly develop spoken term detection in new languages. – ... Reduce overhead in deploying new language? • Zero acoustic resources. –

  5. Stimulated Deep Neural Network for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/interspeech16_stimu.pdf
    26 Sep 2016: English broadcast news(BN) transcription task and a Javanese conversational telephonespeech (CTS) task from the IARPA Babel program. ... English broadcast news(BN) task and a Javanese conversational telephone speech taskfrom the IARPA Babel program.

  6. Investigation of multilingual speech-to-text systems for use in…

    mi.eng.cam.ac.uk/~kmk/presentations/UEdin_Feb14_Knill.pdf
    12 May 2016: Multilingual STT for Spoken Term Detection. IARPA Babel Program. • Goal - rapidly develop spoken term detection in new languages. – ... Reduce overhead in deploying new language? • Language Independent Acoustic Models. –

  7. Combining I-vector Representation and Structured Neural Networks for…

    mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf
    5 Apr 2016: English Broadcast News (BN) transcription task.Two distinct sets of test data are examined. ... The proposed approachesare evaluated on the utterance-level unsupervised adaptation of alarge vocabulary continuous English broadcast news transcriptiontask.

  8. Knill_CUEDSeminar_20140403.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/CUED_Apr14_Knill.pdf
    12 May 2016: Multilingual STT for Spoken Term Detection. IARPA Babel Program. • Goal - rapidly develop spoken term detection in new languages. – ... Reduce overhead in deploying new language? • Language Independent Acoustic Models. –

  9. Deep Learning for Speech Processing - An NST Perspective

    mi.eng.cam.ac.uk/~mjfg/NST_2016.pdf
    29 Sep 2016: 5. ConclusionsIn this paper, we proposed a new training criterion for DNN-based speech synthesis, which minimises the trajectory errorrather than frame-by-frame error.

  10. Investigation of back-off based interpolation between Recurrent…

    mi.eng.cam.ac.uk/~mjfg/asru15-chen.pdf
    11 Mar 2016: layer. The hidden layer compresses the information from these twoinputs and computes a new representation vi1 using a sigmoid ac-tivation to achieve non-linearity.

  11. slides_part2.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf
    12 May 2016: 1. Add new hidden layer with random initial values2. Train the new network - usually restrict number of iterations3.

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