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

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

Speech has long been a barrier to effective communication and connection, persisting as a challenge in our increasingly interconnected world. This research paper introduces a transformative solution to this persistent obstacle an end-to-end speech conversion framework tailored for Hindi-to-English t...

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Veröffentlicht in:arXiv.org 2024-01
Hauptverfasser: Tathe, Aniket, Kamble, Anand, Kumbharkar, Suyash, Bhandare, Atharva, Mitra, Anirban C
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Automatic speech recognition
English language
Machine translation
Synthesis
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creator Tathe, Aniket
Kamble, Anand
Kumbharkar, Suyash
Bhandare, Atharva
Mitra, Anirban C
description Speech has long been a barrier to effective communication and connection, persisting as a challenge in our increasingly interconnected world. This research paper introduces a transformative solution to this persistent obstacle an end-to-end speech conversion framework tailored for Hindi-to-English translation, culminating in the synthesis of English audio. By integrating cutting-edge technologies such as XLSR Wav2Vec2 for automatic speech recognition (ASR), mBART for neural machine translation (NMT), and a Text-to-Speech (TTS) synthesis component, this framework offers a unified and seamless approach to cross-lingual communication. We delve into the intricate details of each component, elucidating their individual contributions and exploring the synergies that enable a fluid transition from spoken Hindi to synthesized English audio.
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subjects Automatic speech recognition
English language
Machine translation
Synthesis
title End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2
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