Convolutional Neural Networks for Speech Recognition

  title={Convolutional Neural Networks for Speech Recognition},
  author={O. Abdel-Hamid and Abdel-rahman Mohamed and Hui Jiang and Li Deng and Gerald Penn and Dong Yu},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  • O. Abdel-Hamid, Abdel-rahman Mohamed, +3 authors Dong Yu
  • Published 2014
  • Computer Science
  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model (GMM)-HMM. [...] Key Method We first present a concise description of the basic CNN and explain how it can be used for speech recognition. We further propose a limited-weight-sharing scheme that can better model speech features.Expand Abstract
    1,128 Citations
    Convolutional Neural Network and Feature Transformation for Distant Speech Recognition
    • 1
    Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition
    An analysis of convolutional neural networks for speech recognition
    • Jui-Ting Huang, J. Li, Y. Gong
    • Computer Science
    • 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • 2015
    • 79
    • PDF
    Noise robust speech recognition using recent developments in neural networks for computer vision
    • 20
    • Highly Influenced
    • PDF
    Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition
    • 177
    Automatic Speech Recognition Using Deep Neural Networks: New Possibilities
    Applying Multi-scale Features in Deep Convolutional Neural Networks for Myanmar Speech Recognition
    • Thandar Soe, Su Su Maung, Nyein Nyein Oo
    • Computer Science
    • 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
    • 2018
    Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations