The automatic dubbing of university educational videos using artificial intelligence with Heygen
DOI:
https://doi.org/10.31637/epsir-2024-358Keywords:
artificial intelligence, automatic dubbing, lip synchronization, translation, face-to-face, multimedia content, Heygen, educationAbstract
Introduction: Artificial intelligence has revolutionized higher education with tools for creating multilingual content. This study evaluates the impact and effectiveness of automatic dubbing of educational videos using Heygen, which adapts recordings and creates teaching materials with digital avatars. Methodology: The use of Heygen in creating multilingual educational content was examined, analyzing its compatibility with 60 languages and its capabilities for customizing avatars and real recordings. Results: Results show that Heygen is a practical and effective tool, although it has some limitations. It supports 60 languages and allows for the customization of avatars and real recordings. Discussion: The advantages and disadvantages of Heygen were compared with similar technologies. The need for further research to improve its capabilities and overcome current limitations was highlighted. Conclusions: Heygen offers significant potential for creating multilingual educational materials. However, further research is needed to optimize its use and address its limitations.
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References
Aguilar, L. (2024). Cómo usar la IA para doblar vídeos a otros idiomas. ADSLZone. https://cutt.ly/hedrHlwt
AI Hungry. (2024). HeyGen Pricing, Plans and Cost Breakdown for 2024. Aihungry.com. https://cutt.ly/AedrHqYB
Andre, D. (21 de junio de 2024). HeyGen Review 2024: Is It the Best AI Video Generator Tool? AllAboutIA.com. https://cutt.ly/3edrHRJx
Babeling. (13 de febrero de 2024). HeyGen Review: Sincere Thoughts on AI Video Creation. Babeling.com. https://cutt.ly/RedrH1UY
Brame, C. J. (2015). Effective educational videos. Vanderbilt University. Center for Teaching. https://cutt.ly/KedrH5GE
Chávez, M. E., Labrada, E., Carbajal, E., Pineda, E. y Alatriste, Y. (2024). Inteligencia artificial generativa para fortalecer la educación superior. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 4(3), 767-784. https://cutt.ly/Qedl6wuU DOI: https://doi.org/10.56712/latam.v4i3.1113
de los Reyes Lozano, J. y Mejías-Climent, L. (2023). Beyond the black mirror effect: the impact of machine translation in the audiovisual translation environment. Linguistica Antverpiensia, New Series: Themes in Translation Studies, 20, 1–19. https://doi.org/10.52034/lans-tts.v22i.790 DOI: https://doi.org/10.52034/lans-tts.v22i.790
Fishman, E. (5 de julio de 2016). How long should your next video be? Wistia.com. https://cutt.ly/feddzsib
Galindo-Domínguez, H., Delgado, N., Campo, L. y Losada, D. (2024). Doblaje automático de vídeos educativos: Un estudio comparativo. International Journal of Educational Research, 126, 1-13. https://doi.org/10.1016/j.ijer.2024.102381 DOI: https://doi.org/10.1016/j.ijer.2024.102381
Guo, Ph. J., Kim, J. y Rubin, R. (2014). How video production affects student engagement: an empirical study of MOOC videos. L@S '14: Proceedings of the first ACM conference on Learning @ scale conference, 41-50. https://doi.org/10.1145/2556325.2566239 DOI: https://doi.org/10.1145/2556325.2566239
Hadi, N. y Ainy, N. S. (2024). Increasing students' understanding of conservation using learning video media based on an artificial intelligence platform. JHSS Journal of Humanities and Social Studies, 8(1), 242-245. https://cutt.ly/8edl6x67
HeyGen Help Center. (2024). Subscriptions Explained: What You Need to Know. Help.heygen.com. https://cutt.ly/XedrJbCO
HeyGen. (2024). Plans & Pricing. Heygen.co. https://cutt.ly/sedrJzSI
Khalid, A. (2024). Employing artificial intelligence techniques to make films. Al-Academy Journal Special Issue, 171-180. https://doi.org/10.35560/jcofarts1423 DOI: https://doi.org/10.35560/jcofarts1423
López Ardao, J. C. (16 de octubre de 2017). ¿Cuál debería ser la longitud del vídeo educativo? The Flipped Classroom. https://cutt.ly/sLlwvdQ
Méndez, L. y Rolfo, M. (2024). ¿Cómo funciona la inteligencia artificial y su futuro? Heygen (la herramienta que necesitas conocer). Codigoencasa.com. https://cutt.ly/HedrJJhJ
Miquel-Vergés, J. (2022). Nuevas tecnologías en la educación superior virtual. Las tecnologías del ultrafalso y de la traducción cara a cara. HUMAN REVIEW International Humanities Review / Revista Internacional de Humanidades, 12(4), 1-20. https://cutt.ly/gedg2Ljk DOI: https://doi.org/10.37467/revhuman.v11.3967
Miquel-Vergés, J. (2024). Artificial Intelligence, deepfakes and face-to-face translation in automated dubbing and asynchronous multilingual communication. En D. Caldevilla (Ed.). Inteligencia Artificial ¿amiga o enemiga? Peter Lang. (en prensa).
Prajwal K. R., Rudrabha Mukhopadhyay, Philip, J., Jha, A., Namboodiri, V. y Jawahar, C. V. (octubre de 2019). Towards Automatic Face-to-Face Translation. MM '19. En Proceedings of the 27th ACM International Conference on Multimedia (pp. 1428-1436). CVIT. https://cutt.ly/jLf2AFa
Ramírez, A. (30 octubre de 2023). Heygen: La nueva forma de crear vídeos mediante inteligencia artificial. Marketing Capacitación. https://cutt.ly/cedgBvke
Rudrabha Mukhopadhyay (2019). Face to Face Translation [vídeo]. YouTube https://cutt.ly/MLk5U8L
Schiefelbein, J. S. (2023). Human vs Machine: Hyper-Realistic Avatars and Their Efficacy as a Communication Channel [Tesis doctoral]. Muma College of Business, University of South Florida. https://cutt.ly/pedg4jkP
Sprout24. (2024). Heygen. Sprou24.com. https://sprout24.com/hub/heygen/
Tekpon. (2024). HeyGen. Tekpon.com. https://cutt.ly/gedrJ9t8
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