On supervised learning from sequential data with applications for speech recognition

[目次]

  • On supervised learning from sequential data with applications for speech recognition / p1
  • Contents / p5
  • List of Figures / p9
  • List of Tables / p11
  • List of Symbols / p14
  • 1 Introduction / p1
  • 1.1 MOTIVATION AND BACKGROUND / p1
  • 1.2 THESIS STRUCTURE / p5
  • 2 Supervised learning from sequential data / p7
  • 2.1 DEFINITION OF THE PROBLEM / p7
  • 2.2 Decomposition into a generative and a prior model part / p10
  • 2.3 Direct decomposition / p13
  • 2.4 HIDDEN MARKOV MODELS / p14
  • 2.5 SUMMARY / p23
  • 3 Neural networks for supervised learning from sequences / p25
  • 3.1 BASICS OF NEURAL NETWORKS / p26
  • 3.2 BIDIRECTIONAL RECURRENT NEURAL NETWORKS / p36
  • 3.3 MIXTURE DENSITY RECURRENT NEURAL NETWORKS / p53
  • 3.4 SUMMARY / p65
  • 4 Memory-efficient LVCSR search using a one-pass stack decoder / p69
  • 4.1 INTRODUCTION / p70
  • 4.2 A MEMORY-EFFICIENT ONE-PASS STACK DECODER / p80
  • 4.3 EXPERIMENTS / p97
  • 4.4 CONCLUSIONS / p105
  • 4.5 ACKNOWLEDGMENTS / p105
  • 5 Conclusions / p107
  • 5.1 SUMMARY / p107
  • 5.2 CONTRIBUTIONS FROM THIS THESIS / p109
  • 5.3 SUGGESTIONS FOR FUTURE WORK / p110
  • A Improved initialization of Multi-Layer-Perceptrons / p113
  • B List of Publications / p115

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書名 On supervised learning from sequential data with applications for speech recognition
著作者等 Mike Schuster
書名別名 情報系列からの教師付き学習とその音声認識への応用
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