Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection
Guardado en:
| Publicado en: | arXiv.org (Jun 21, 2023), p. n/a |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
Cornell University Library, arXiv.org
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2828557780 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 2828557780 | ||
| 045 | 0 | |b d20230621 | |
| 100 | 1 | |a Do, Phat | |
| 245 | 1 | |a Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection | |
| 260 | |b Cornell University Library, arXiv.org |c Jun 21, 2023 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a We compare using a PHOIBLE-based phone mapping method and using phonological features input in transfer learning for TTS in low-resource languages. We use diverse source languages (English, Finnish, Hindi, Japanese, and Russian) and target languages (Bulgarian, Georgian, Kazakh, Swahili, Urdu, and Uzbek) to test the language-independence of the methods and enhance the findings' applicability. We use Character Error Rates from automatic speech recognition and predicted Mean Opinion Scores for evaluation. Results show that both phone mapping and features input improve the output quality and the latter performs better, but these effects also depend on the specific language combination. We also compare the recently-proposed Angular Similarity of Phone Frequencies (ASPF) with a family tree-based distance measure as a criterion to select source languages in transfer learning. ASPF proves effective if label-based phone input is used, while the language distance does not have expected effects. | |
| 653 | |a Mapping | ||
| 653 | |a Learning | ||
| 653 | |a Automatic speech recognition | ||
| 653 | |a Languages | ||
| 653 | |a Family trees | ||
| 700 | 1 | |a Coler, Matt | |
| 700 | 1 | |a Dijkstra, Jelske | |
| 700 | 1 | |a Klabbers, Esther | |
| 773 | 0 | |t arXiv.org |g (Jun 21, 2023), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2828557780/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2306.12040 |