Advanced Emotion and Multi-Speaker Recognition with Multilingual VoiceCloning in Cross-Cultural Communication

Jayapratha N; Vijaysurya M; Lingeshwaran G; Vema Naga Karish Gupta; Shivaprasanna1

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Publication Date: 2024/12/02

Abstract: This paper presents a novel approach to multilingual voice translation that integrates speech emotion recognition, multi-speaker differentiation, and voice cloning for cross-cultural applications. While existing translation systems achieve basic linguistic transformation, they often overlook critical elements like speaker-specific identity and emotional tone. The proposed system advances traditional models by leveraging deep learning to distinguish multiple speakers and recognize emotional states in multilingual contexts, preserving vocal nuances across languages. This study examines our model's architecture, evaluates its components, and assesses the potential impact on international communication, providing an innovative, culturally sensitive translation solution.

Keywords: No Keywords Available

DOI: https://doi.org/10.38124/ijisrt/IJISRT24NOV1089

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24NOV1089.pdf

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