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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.16580 |
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| _version_ | 1866915352534843392 |
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| author | Nguyen, Tuan-Nam Pham, Ngoc-Quan Akti, Seymanur Waibel, Alexander |
| author_facet | Nguyen, Tuan-Nam Pham, Ngoc-Quan Akti, Seymanur Waibel, Alexander |
| contents | We propose a first streaming accent conversion (AC) model that transforms non-native speech into a native-like accent while preserving speaker identity, prosody and improving pronunciation. Our approach enables stream processing by modifying a previous AC architecture with an Emformer encoder and an optimized inference mechanism. Additionally, we integrate a native text-to-speech (TTS) model to generate ideal ground-truth data for efficient training. Our streaming AC model achieves comparable performance to the top AC models while maintaining stable latency, making it the first AC system capable of streaming. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_16580 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement Nguyen, Tuan-Nam Pham, Ngoc-Quan Akti, Seymanur Waibel, Alexander Computation and Language Sound Audio and Speech Processing We propose a first streaming accent conversion (AC) model that transforms non-native speech into a native-like accent while preserving speaker identity, prosody and improving pronunciation. Our approach enables stream processing by modifying a previous AC architecture with an Emformer encoder and an optimized inference mechanism. Additionally, we integrate a native text-to-speech (TTS) model to generate ideal ground-truth data for efficient training. Our streaming AC model achieves comparable performance to the top AC models while maintaining stable latency, making it the first AC system capable of streaming. |
| title | Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement |
| topic | Computation and Language Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2506.16580 |