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d61653342a2ef246288a · Role of non-linear data processing on speech recognition task in the framework of reservoir computing

Role of non-linear data processing on speech recognition task in the framework of reservoir computing

The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech recognition (ASR). However, this task requires acoustic

Официальный источник · 2020-01-15

Полные импортированные сведения карточки
{
  "title_en": "Role of non-linear data processing on speech recognition task in the framework of reservoir computing",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-01-15",
  "date_original": "January 15, 2020",
  "url": "https://www.nist.gov/publications/role-non-linear-data-processing-speech-recognition-task-framework-reservoir-computing",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Sumito Tsunegi, Damien Querlioz, K. Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles , Julie Grollier",
  "abstract_excerpt_en": "The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech recognition (ASR). However, this task requires acoustic",
  "id": "d61653342a2ef246288a",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "Role of non-linear data processing on speech recognition task in the framework of reservoir computing",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2020-01-15",
      "date_original": "January 15, 2020",
      "url": "https://www.nist.gov/publications/role-non-linear-data-processing-speech-recognition-task-framework-reservoir-computing",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Sumito Tsunegi, Damien Querlioz, K. Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles , Julie Grollier",
      "abstract_excerpt_en": "The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech recognition (ASR). However, this task requires acoustic"
    }
  ],
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}