The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech
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| Publicat a: | arXiv.org (Jun 1, 2023), p. n/a |
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| Altres autors: | , , |
| Publicat: |
Cornell University Library, arXiv.org
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 2821741190 | ||
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| 022 | |a 2331-8422 | ||
| 035 | |a 2821741190 | ||
| 045 | 0 | |b d20230601 | |
| 100 | 1 | |a Do, Phat | |
| 245 | 1 | |a The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech | |
| 260 | |b Cornell University Library, arXiv.org |c Jun 1, 2023 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a We compare phone labels and articulatory features as input for cross-lingual transfer learning in text-to-speech (TTS) for low-resource languages (LRLs). Experiments with FastSpeech 2 and the LRL West Frisian show that using articulatory features outperformed using phone labels in both intelligibility and naturalness. For LRLs without pronunciation dictionaries, we propose two novel approaches: a) using a massively multilingual model to convert grapheme-to-phone (G2P) in both training and synthesizing, and b) using a universal phone recognizer to create a makeshift dictionary. Results show that the G2P approach performs largely on par with using a ground-truth dictionary and the phone recognition approach, while performing generally worse, remains a viable option for LRLs less suitable for the G2P approach. Within each approach, using articulatory features as input outperforms using phone labels. | |
| 653 | |a Labels | ||
| 653 | |a Learning | ||
| 653 | |a Dictionaries | ||
| 653 | |a Intelligibility | ||
| 653 | |a Speech recognition | ||
| 700 | 1 | |a Coler, Matt | |
| 700 | 1 | |a Dijkstra, Jelske | |
| 700 | 1 | |a Klabbers, Esther | |
| 773 | 0 | |t arXiv.org |g (Jun 1, 2023), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2821741190/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2306.00535 |