Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence
Audio dubbing, or inducing fake audio clips to a genuine video or audio file, has shown growing adverse effects in the speech domain sectors, causing concerns to individuals, organizations, and society as a whole. With the advent and rapid popularity of the artificial intelligence (AI) sector, induc...
Saved in:
| Main Authors: | Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11087586/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey of deep fake audio generation and detection techniques
by: ZENG Zhiping, et al.
Published: (2025-01-01) -
Audio-Language Datasets of Scenes and Events: A Survey
by: Gijs Wijngaard, et al.
Published: (2025-01-01) -
Evaluation of Translatability of Pun in Audio-Visual Content: The Case of Shark Tale
by: Yassin Rozan, et al.
Published: (2025-02-01) -
Partial Fake Speech Attacks in the Real World Using Deepfake Audio
by: Abdulazeez Alali, et al.
Published: (2025-02-01) -
Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining
by: Miao Miao, et al.
Published: (2024-11-01)