Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech (2020.lrec-1)
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Adriana Guevara-Rukoz, Isin Demirsahin, Fei He, Shan-Hui Cathy Chu, Supheakmungkol Sarin, Knot Pipatsrisawat, Alexander Gutkin, Alena Butryna, Oddur Kjartansson
| Challenge: | Using crowd-sourced datasets, we build a text-to-speech voice for a new dialect in a language with existing resources. |
| Approach: | They propose a multidialectal corpus approach for building a text-to-speech voice for a new dialect in a language with existing resources using crowd-sourcing. |
| Outcome: | The proposed model outperforms baseline models in a “zero-resource” dialect scenario while holding out target dialect recordings from the training data. |
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