CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917696422019072 |
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| author | Hira, Medha Goel, Arnav Gupta, Anubha |
| author_facet | Hira, Medha Goel, Arnav Gupta, Anubha |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2406_00021 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning Hira, Medha Goel, Arnav Gupta, Anubha Computation and Language Sound Audio and Speech Processing 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. |
| title | CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning |
| topic | Computation and Language Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2406.00021 |