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Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

Research Article

Automatic Scoring of L2 English Speech Based on DNN Acoustic Models with Lattice-Free MMI

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  • @INPROCEEDINGS{10.1007/978-3-030-66785-6_13,
        author={Dean Luo and Mingxiang Guan and Linzhong Xia},
        title={Automatic Scoring of L2 English Speech Based on DNN Acoustic Models with Lattice-Free MMI},
        proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings},
        proceedings_a={MLICOM},
        year={2021},
        month={1},
        keywords={Automatic scoring L2 speech evaluation Goodness of pronunciation Lattice free MMI DNN acoustic models},
        doi={10.1007/978-3-030-66785-6_13}
    }
    
  • Dean Luo
    Mingxiang Guan
    Linzhong Xia
    Year: 2021
    Automatic Scoring of L2 English Speech Based on DNN Acoustic Models with Lattice-Free MMI
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-66785-6_13
Dean Luo,*, Mingxiang Guan, Linzhong Xia
    *Contact email: luoda@sziit.edu.cn

    Abstract

    This paper proposed improved automatic scoring methods for L2 English speaking tests based on acoustic models with lattice-free Maximum Mutual Information (MMI). Deep Neural Network (DNN) acoustic modeling with lattice-free MMI is the state-of-the-art technology in speech recognition because of its effectiveness in sequential discriminative training. Novel Goodness of Pronunciation (GOP) implementations based on lattice free MMI were proposed to improve the performance of automatic scoring for L2 English speech tests. Sequential acoustic weights during forced-alignment and posteriors based on Forward-Backward Algorithm with lattice free MMI acoustic models were used to improved GOP based automatic scoring. Experimental results show that our proposed lattice free MMI based methods outperform conventional regular DNN based automatic scoring methods.

    Keywords
    Automatic scoring L2 speech evaluation Goodness of pronunciation Lattice free MMI DNN acoustic models
    Published
    2021-01-24
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-66785-6_13
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