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Showing 1 to 4 of 4 for “"Spoken Language Assessment"”.

  1. Uncertainty Estimation in Deep Learning with application to Spoken Language Assessment

    … approach to addressing computer vision, natural language processing, speech recognition and bio-informatics tasks. However, despite impressive performance, neural networks tend to make over-confident predictions. Thus, it is necessary to investigate robust, interpretable and tractable estimates …

    cambridge Repository record for Uncertainty Estimation in Deep Learning with application to Spoken Language Assessment (opens in a new tab)

  2. Deep Learning for Automatic Assessment and Feedback of Spoken English

    Growing global demand for learning a second language (L2), particularly English, has led to considerable interest in automatic spoken language assessment, whether for use in computerassisted language learning (CALL) tools or for grading candidates for formal qualifications. This thesis presents …

    cambridge Repository record for Deep Learning for Automatic Assessment and Feedback of Spoken English (opens in a new tab)

  3. Automatic Assessment of L2 Spoken English

    … and academia, learners of English as a second language (L2) have been steadily growing. This has contributed to an increasing demand for automatic spoken language assessment systems for formal settings and practice situations in Computer-Assisted Language Learning. One common misunderstanding …

    trento Repository record for Automatic Assessment of L2 Spoken English (opens in a new tab)

  4. Machine learning approaches to improving mispronunciation detection on an imbalanced corpus

    … Aloud responses from the TOEFL Junior Pilot assessment). In order to address problems caused by this extreme class imbalance, two machine learning approaches, cost-sensitive learning and over-sampling, are explored to improve the classification performance. Specifically, approaches which …

    uiuc Repository record for Machine learning approaches to improving mispronunciation detection on an imbalanced corpus (opens in a new tab)