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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
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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Volume Published : 11
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Total Authors : 22487
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| Paper Title: | Voice Cloning and Real-Time Language Translation Using Machine Learning and Deep Learning-Based Approaches |
| Authors Name: | Riya , Sanjana Prajapati , Mitali Kumari , Anshu Priya |
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IJRTI_203744
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| Published Paper Id: | IJRTI2505176 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | In an era of rapid globalization, breaking language barriers is crucial for seamless communication. This paper introduces an advanced AI-powered voice simulation and translation system designed to translate spoken language while retaining a speaker’s unique voice characteristics. Unlike conventional translation systems, our approach integrates speech recognition, deep-learning-based voice cloning, and natural language processing (NLP) to enable real-time translation in the speaker’s voice. This innovation ensures a more natural and personalized conversational experience The core of this system is built on voice cloning technology, text-to-speech (TTS) synthesis, and multilingual translation models capable of preserving tone, pitch, and speech patterns. By leveraging deep learning frameworks and API-driven language models, our solution enhances both the linguistic accuracy and authenticity of translated speech. This technology has immense potential across various domains, including education, accessibility, customer service, and global communication, and provides an innovative solution for cross-lingual interactions. In this study, we explore key methodologies, challenges, and recent advancements in voice cloning and multilingual speech synthesis. Additionally, we discuss potential improvements, such as better adaptation to diverse dialects and minimization of processing delays, to further enhance real-time translation capabilities. |
| Keywords: | Keywords: Voice Cloning, Speech Translation, Multilingual NLP, AI-Powered Communication, Deep Learning, Personalized TTS. |
| Cite Article: | "Voice Cloning and Real-Time Language Translation Using Machine Learning and Deep Learning-Based Approaches", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b664-b671, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505176.pdf |
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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 |
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Published Paper ID: IJRTI2505176
Registration ID:203744
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b664-b671 Country: Gorakhpur, Uttar Pradesh, UTTAR PRADESH, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505176 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505176 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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