Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition
The complete acoustic features include magnitude and phase information. However, traditional speech emotion recognition methods only focus on the magnitude information and ignore the phase data, and will inevitably miss some information. This study explores the accurate extraction and effective use...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/162646 |