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Speech has long been a barrier to effective communication and connection,persisting as a challenge in our increasingly interconnected world. Thisresearch paper introduces a transformative solution to this persistent obstaclean end-to-end speech conversion framework tailored for Hindi-to-Englishtranslation, culminating in the synthesis of English audio. By integratingcutting-edge technologies such as XLSR Wav2Vec2 for automatic speechrecognition (ASR), mBART for neural machine translation (NMT), and aText-to-Speech (TTS) synthesis component, this framework offers a unified andseamless approach to cross-lingual communication. We delve into the intricatedetails of each component, elucidating their individual contributions andexploring the synergies that enable a fluid transition from spoken Hindi tosynthesized English audio.

End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2