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1 - 3 of 3 search results for `large broadcast news corpus` |u:mi.eng.cam.ac.uk

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  2. Use of Graphemic Lexicons for Spoken Language Assessment K.M. ...

    mi.eng.cam.ac.uk/~ar527/knill_is2017.pdf
    15 Jun 2018: This corpus contains mostly non-native English. speakers. The BN DNN is sequence trained which is sensitive totranscription quality. ... The DNN structure is 702x10005x6000. AKneser-Ney trigram LM is trained on 186K words of BULATStest data and

  3. A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf
    24 Jan 2018: A Kneser-Ney trigram language model is trainedon this data and interpolated with a general English languagemodel trained on a large broadcast news corpus, using the SRILMtoolkit [16]. ... 22] G. Evermann and P. C. Woodland, “Large vocabulary

  4. An attention based model for off-topic spontaneous spoken response ...

    mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf
    15 Jun 2018: trained on a large broadcast news corpus, using the SRILMtoolkit [26]. ... International Conference on Spoken Language Processing(ICSLP), 2002. [27] M. Abadi et al., “TensorFlow: Large-Scale Machine Learningon Heterogeneous Systems,” 2015, software

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