rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: New Era for Robust Speech Recognition
    sub title: Exploiting Deep Learning
  name:
    name part: Watanabe, Shinji.
    role:
      role term: editor.
  name:
    name part: Delcroix, Marc.
    role:
      role term: editor.
  name:
    name part: Metze, Florian.
    role:
      role term: editor.
  name:
    name part: Hershey, John R.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 436 p. 76 illus., 26 illus. in color. online resource.
  abstract: This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.
  table of contents: Speech and Language Processing -- Automatic Speech Recognition (ASR) -- Recent Applications -- Signal-Processing-Based Front-End for Robust ASR -- Generative Model-Based Speech Enhancement -- Denoising Autoencoder -- Discriminative Microphone Array Enhancement -- Learning Robust Feature Representation -- Training Data Augmentation -- Adaptation and Augmented Features -- Novel Model Topologies -- Novel Objective Criteria -- Benchmark Data, Tools, and Systems.
  note: edited by Shinji Watanabe, Marc Delcroix, Florian Metze, John R. Hershey.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational linguistics
  subject:
    topic: Linguistics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Language Translation and Linguistics
  subject:
    topic: Linguistics, general
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319646800
  identifier: http://dx.doi.org/10.1007/978-3-319-64680-0
  record info:
    record creation date: 171031
    record change date: 20171031110448.0
    record identifier: 978-3-319-64680-0