CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning
<|reference_start|>CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning: This paper presents CrossVoice, a novel cascade-based Speech-to-Speech Translation (S2ST) system employing advanced ASR, MT, and TTS technologies with cross-lingual prosody preservation through transfer learning. We conducted comprehensive experiments comparing CrossVoice with direct-S2ST systems, showing improved BLEU scores on tasks such as Fisher Es-En, VoxPopuli Fr-En and prosody preservation on benchmark datasets CVSS-T and IndicTTS. With an average mean opinion score of 3.75 out of 4, speech synthesized by CrossVoice closely rivals human speech on the benchmark, highlighting the efficacy of cascade-based systems and transfer learning in multilingual S2ST with prosody transfer.<|reference_end|>
@article{hira2024crossvoice:,
    title={CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer
  Learning},
    author={Medha Hira, Arnav Goel, Anubha Gupta},
    journal={arXiv preprint arXiv:2406.00021},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00021},
    primaryClass={cs.CL cs.SD eess.AS}
}