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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Advancements in Lip-Syncing Technology: A Comprehensive Look of GAN-Based Approaches for Audio-Visual Synchronization
Authors Name: Adithya Jayachandran , Avinash M R , Jibin Zachariah , Joe Joseph , Mathews Jose
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IJRTI_200241
Published Paper Id: IJRTI2501026
Published In: Volume 10 Issue 1, January-2025
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Abstract: Lip-syncing technology, integral to fields ranging from digital media production to assistive technologies, has seen substantial advancements with the integration of deep learning models, particularly Generative Adversarial Networks (GANs). This literature review investigates the evolution, methodologies, and impact of recent lip-syncing solutions, with a detailed focus on the Wav2Lip model and various GAN architectures. Wav2Lip, recognized for its high accuracy and robustness across diverse speaking styles and facial conditions, represents a significant leap in achieving realistic and adaptable lip synchronization, even under challenging conditions such as cross-language dubbing and expressive variations. This survey synthesizes findings from numerous research papers, examining the progression from early rule-based and phonetic alignment techniques to the sophisticated, data-driven GAN models that now dominate the field. Key topics include model architectures, training methodologies, loss functions, and evaluation metrics that have collectively advanced the state of the art. The report also explores the challenges inherent in lip-syncing, such as handling occlusions, preserving speaker identity, and achieving real-time performance, as well as potential solutions proposed in the literature. Furthermore, it assesses the applications and limitations of current models, considering the ethical and practical implications of increasingly realistic synthesized speech and lip movements.
Keywords: Lip-Syncing, Generative Adversarial Networks (GANs), Facial Animation
Cite Article: "Advancements in Lip-Syncing Technology: A Comprehensive Look of GAN-Based Approaches for Audio-Visual Synchronization", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a179-a185, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501026.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2501026
Registration ID:200241
Published In: Volume 10 Issue 1, January-2025
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Page No: a179-a185
Country: Kidangoor, Kottayam, Kerala, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501026
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501026
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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