NIST · ИТ · 8accc980368ae9e0a692
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fully
NIST · ИТОфициальный источник · 2021-08-05
{
"title_en": "Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation",
"designation": "",
"series": "",
"status": "",
"date": "2021-08-05",
"date_original": "August 5, 2021",
"url": "https://www.nist.gov/publications/improved-speech-emotion-recognition-using-transfer-learning-and-spectrogram",
"source": "NIST Publications",
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"authors_en": "Sarala Padi , Omid Sadjadi , Ram D. Sriram , Dinesh Manocha",
"abstract_excerpt_en": "Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fully",
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{
"title_en": "Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation",
"designation": "",
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"date": "2021-08-05",
"date_original": "August 5, 2021",
"url": "https://www.nist.gov/publications/improved-speech-emotion-recognition-using-transfer-learning-and-spectrogram",
"source": "NIST Publications",
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"authors_en": "Sarala Padi , Omid Sadjadi , Ram D. Sriram , Dinesh Manocha",
"abstract_excerpt_en": "Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fully"
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