Speech Emotion Recognition from Raw Audio using Deep Learning
Traditionally, in Speech Emotion Recognition, models require a large number of manually engineered features and intermediate representations such as spectrograms for training. However, to hand-engineer such features often requires both expert domain knowledge and resources. Recently, with the emergi...
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Format: | Others |
Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278858 |