Multimodal audio-visual emotion detection
Audio and visual utterances in video are temporally and semantically dependent to each other so modeling of temporal and contextual characteristics plays a vital role in understanding of conflicting or supporting emotional cues in audio-visual emotion recognition (AVER). We introduced a novel tempor...
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| Format: | Thesis-Master by Research |
| Language: | English |
| Published: |
Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/153490 |
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| Institution: | Nanyang Technological University |
| Language: | English |