AI Translation and Dubbing with Emotional Accuracy
Metadata
- Publisher
- SMPTE — Hollywood, CA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 00, pp. 1–16
- Abstract
- Integrating artificial intelligence (AI) into media has led to significant advancements in translation and dubbing, areas previously limited by technological constraints. However, initial Text-to-Speech (TTS) technologies were primarily developed for voice interfaces rather than cinematic dubbing, where emotional integrity is paramount. As a result, these early solutions are insufficient for the high emotional demands of film production. This paper examines AI's potential to enhance emotional accuracy in media translation and dubbing, focusing on the critical challenge of interlingual emotion transfer. Traditional methods to date do not allow for the preservation of the emotional integrity of content, leading to reduced audience engagement and cultural authenticity. Our research aims to develop and apply AI models that accurately detect and reproduce emotional cues across languages, improving both engagement and authenticity. While promising results have been achieved, challenges remain in the areas of cultural context and real-time processing, which this paper addresses in detail.
- Publication Date
- 2024-10-21
- DOI
10.5594/MOO/3043- ISBN
- Electronic:
978-1-61482-965-2 - Link
- https://doi.org/10.5594/MOO/3043
- Author(s)
- Denys KrasnikovAlexander Konovalov
- Keyword(s)
- AI Translation, Dubbing, Emotional Accuracy, Natural Language Processing, Deep Learning, Speaker Diarization, AI Ethics, Cultural Adaptation, Responsible AI, Interlingual Transfer, Video Production, Automatic Speech Recognition, Machine Learning, Vidby Ag, Real-Time Processing, AI-Driven Media, Interlingual Emotion Transfer, Voice Cloning, Text-to-Speech, Lip Sync, Accessibility in Media, Large Language Models (LLMs)
- Copyright
- © 2024 SMPTE
Bibliographic Reference(s)
- Floridi, L., “AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations,” Minds and Machines, vol. 28, no. 4, pp. 689–707, Dec. 2018. [Online]. Available: https://link.springer.com/article/10.1007/s11023-018-9482-5 EXTERNAL
- Y. Khoma, A. Konovalov, “Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library,” Sensors, vol. 23, no. 4, pp. 2082–2095, Mar. 2023. [Online]. Available: https://www.mdpi.com/1424-8220/23/4/2082 EXTERNAL
- M. Smith, P. Johnson, “Enhancing Automatic Speech Recognition with Personalized Models: Improving Accuracy through Individualized Fine-tuning,” IEEE Transactions on Speech and Audio Processing, vol. 28, pp. 45–58, Feb. 2023. [Online]. Available: https://ieeexplore.ieee.org/document/10636144/authors#authors EXTERNAL
- Vidby AG, “Short Film Project Translation,” Vidby AG, 2023. [Online]. Available: https://vidby.com/vip/?gl=1dn0keh_gcl_auOTA2NDQxMzMOLjE3MTk4MzA4NjM._gaMTUOMjczNTc3Nv4xNzAOMTkzNzM1_ga_MZY9WWMSK9*MTcyNTAxOTA2MC4zMTcuMC4xNzI1MDE5MDYwLjYwLjAuMTgOOTUxMzU3MA EXTERNAL
- Vidby AG, “Films Translated and Dubbed using Emotion Transfer Technology,” Vidby AG, 2024. Available: English Version and German Version. EXTERNAL
- Vidby AG, “AI Development Based on Disney Film Fragments: A Case Study,” Vidby AG, 2024. [Online]. Available: https://vidby.com/order/N286199/share, https://vidby.com/order/N793556/share EXTERNAL
- Vidby AG, “Audience Reception and AI Translation Experiments,” Vidby AG, 2024. [Online]. Available: https://youtube.com/playlist?list=PLrPhWoucVpNvUdCfwxhcEvxH2i2fHEtIE&si=8Amhg7sr5BsOIq7f EXTERNAL
- Anguera, X.; Bozonnet, S.; Evans, N.; Fredouille, C.; Friedland, G.; Vinyals, O., “Speaker Diarization: A Review of Recent Research,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, pp. 356–370, 2012. [GoogleScholar] [CrossRef]. EXTERNAL
- SMPTE, “SMPTE Engineering Report on Artificial Intelligence and Media,” SMPTE, White Plains, NY, 2024. Available: https://www.smpte.org/blog/smpte-releases-engineering-report-on-artificial-intelligence-and-the-media EXTERNAL
- Google, “Responsible AI Development Guidelines,” Google, 2023. [Online]. Available: https://ai.google/responsibility/responsible-ai-practices/ EXTERNAL
- Google, “AI Regulation Recommendations,” Google, 2023. [Online]. Available: https://ai.google/static/documents/recommendations-for-regulating-ai.pdf EXTERNAL
- Microsoft, “Responsible AI: Text to Speech Code of Conduct,” Microsoft, 2023. [Online]. Available: https://learn.microsoft.com/en-us/legal/cognitive-services/speech-service/text-to-speech/code-of-conduct EXTERNAL
- Vidby AG, “Vidby Ethical Code,” Vidby AG, 2024. [Online]. Available: https://vidby.com/ethical-code EXTERNAL
- Vidby AG, “Vidby Video Product Development Roadmap,” Vidby AG, 2024. [Online]. Available: https://drive.google.com/file/d/1aiFCbJlyD7g6XQZmltqKfKAL7bedTK_c/view?usp=sharing EXTERNAL
- Microsoft, “Voice Cloning Report.” Vidby AG, 2024. [Online]. Available: https://drive.google.com/file/d/17nRSKMXQhkd_GSPII1ofC11Ou2gzt0Ll/view?usp=sharing EXTERNAL
- Bredin, H.; Yin, R.; Coria, J.M.;, “Pyannote.audio: Neural Building Blocks for Speaker Diarization,” in Proceedings of the ICASSP 2020–2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 4–8 May 2020, pp. 7124–7128. [Google Scholar] [CrossRef]. EXTERNAL
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Denys Krasnikov and Alexander Konovalov; AI Translation and Dubbing with Emotional Accuracy, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3043
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Denys Krasnikov and Alexander Konovalov; AI Translation and Dubbing with Emotional Accuracy, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3043
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Denys Krasnikov and Alexander Konovalov; AI Translation and Dubbing with Emotional Accuracy, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at https://doi.org/10.5594/MOO/3043
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<span class="citation">Denys Krasnikov and Alexander Konovalov; <cite>AI Translation and Dubbing with Emotional Accuracy</cite>, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2. Available at <a href="https://doi.org/10.5594/MOO/3043" target="_blank" rel="noopener">https://doi.org/10.5594/MOO/3043</a></span>
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Denys Krasnikov and Alexander Konovalov; AI Translation and Dubbing with Emotional Accuracy, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2
doi: 10.5594/MOO/3043
url: https://doi.org/10.5594/MOO/3043
doi: 10.5594/MOO/3043
url: https://doi.org/10.5594/MOO/3043
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<li> Denys Krasnikov and Alexander Konovalov; <cite id="bib-10-5594-moo-3043">AI Translation and Dubbing with Emotional Accuracy</cite>, MTS 2024, Article 32 (pp. 1 to 16); SMPTE, 2024, ISBN: 978-1-61482-965-2 <span class="doi">10.5594/MOO/3043</span> </li>