NIST · ИТ · bd9cb3a836c6ffb44d02
Augmenting Deep Learning Models for Speech Emotion Recognition
We present a Multi-Window Data Augmentation (MWA-SER) approach for speech emotion recognition. MWA-SER is a unimodal approach that focuses on two key concepts; designing the speech augmentation method and building the deep learning model to recognize the
NIST · ИТОфициальный источник · 2020-10-19
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"title_en": "Augmenting Deep Learning Models for Speech Emotion Recognition",
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"date": "2020-10-19",
"date_original": "October 19, 2020",
"url": "https://www.nist.gov/publications/augmenting-deep-learning-models-speech-emotion-recognition",
"source": "NIST Publications",
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"authors_en": "Ram Sriram, Dinesh Manocha, Sarala Padi",
"abstract_excerpt_en": "We present a Multi-Window Data Augmentation (MWA-SER) approach for speech emotion recognition. MWA-SER is a unimodal approach that focuses on two key concepts; designing the speech augmentation method and building the deep learning model to recognize the",
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"title_en": "Augmenting Deep Learning Models for Speech Emotion Recognition",
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"authors_en": "Ram Sriram, Dinesh Manocha, Sarala Padi",
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