切换中文
Your Location:
Home >
Browse articles >
Research on Low-Resource Speech Recognition Based on ADTDNN
Updated:2024-09-25
    • Research on Low-Resource Speech Recognition Based on ADTDNN

    • In the field of speech recognition, researchers have proposed a new method that effectively improves recognition accuracy in low resource environments by integrating Attention mechanism with DTDNN.
    • GU Longhao

      12 ,  

      HUANG Lianli

      1 ,  

      ZHOU Kui

      2 ,  

      ZHANG Ziyue

      12 ,  
    • Software Guide   Vol. 23, Issue 9, Pages: 76-81(2024)
    • DOI:10.11907/rjdk.232097    

      CLC: TP391.4
    • Published:16 September 2024

      Received:27 October 2023

    Scan QR Code

  • Cite this article

    PDF

  • GU Longhao,HUANG Lianli,ZHOU Kui,et al.Research on Low-Resource Speech Recognition Based on ADTDNN[J].Software Guide,2024,23(09):76-81. DOI: 10.11907/rjdk.232097.

  •  
  •  

    * The above content is automatically generated by AI and is for reference only. This website does not assume any commercial or legal responsibility for the consequences arising from the use of the following content on this website.

    54

    Views

    161

    Downloads

    0

    CSCD

    Alert me when the article has been cited
    Submit
    Tools
    Download
    Export Citation
    Share
    Add to favorites
    Add to my album

    Related Articles

    Transformer Based Weakly-Supervised Semantic Segmentation of Remote Sensing Images
    A Fault Diagnosis and Prediction System for Rotating Machinery Based on Self-Attention Encoding and Decoding Structure
    Soft Sensor Based on Random Convolutional Kernel Neural Network Data Enhancement
    A Sleep Staging Model Based on Self-Attention Mechanism and Bi-Directional LSTM

    Related Author

    YUAN Hejin
    WEI Mengfei
    YANG Minghan
    YU Haibo
    GUO Hu
    ZHU Shanshan
    WANG Jianye
    LIU Ruilan

    Related Institution

    Engineering Research Center of Intelligent Computing for Complex Energy Systems,Ministry of Enducation
    Department of Computer,North China Power University
    Hefei Institutes of Physical Science,Chinese Academy of Science
    Lu'an Branch, Anhui lnstitute of Innovation for lndustrial Technology, Luan
    Science Island Branch, Graduate School of USTC
    0