Emotion transfer in audio using mel-cepstral representation and CycleGANs
Abstract The field of audio synthesis is currently confronted with two major challenges: to more effectively eliminate non-emotional influences in emotional feature extraction work, and to improve the emotional expression when reference audio is scarce. Therefore, an innovative audio deep feature de...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00082-7 |
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