Abstract:In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is approached from a deep transfer learning perspective. A large corpus of emotional speech data, EMOSET, is assembled from a number of existing SER corpora. In total, EMOSET contains 84 181 audio recordings from 26 SER corpora with a total duration of over 65 hours. The corpus is then utilised to create a novel framework for multi-corpus speech emotion recognition, namely EMONET. A combination of a deep ResNet architecture and resi… Show more
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