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NIST · ИТ · eb87ac52a8b7e7e53468

eb87ac52a8b7e7e53468 · Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT based models

Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT based models

Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior

Официальный источник · 2022-07-01

Полные импортированные сведения карточки
{
  "title_en": "Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT based models",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-07-01",
  "date_original": "July 1, 2022",
  "url": "https://www.nist.gov/publications/multimodal-emotion-recognition-using-transfer-learning-speaker-recognition-and-bert",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Sarala Padi , Omid Sadjadi , Dinesh Manocha, Ram Sriram",
  "abstract_excerpt_en": "Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior",
  "id": "eb87ac52a8b7e7e53468",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT based models",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2022-07-01",
      "date_original": "July 1, 2022",
      "url": "https://www.nist.gov/publications/multimodal-emotion-recognition-using-transfer-learning-speaker-recognition-and-bert",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Sarala Padi , Omid Sadjadi , Dinesh Manocha, Ram Sriram",
      "abstract_excerpt_en": "Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior"
    }
  ],
  "translation_state": "none"
}