End to end Hindi to English speech conversion using Bark, mBART and a
  finetuned XLSR Wav2Vec2
Aniket Tathe Anand Kamble Suyash Kumbharkar Atharva Bhandare Anirban C. Mitra
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.