Papers by Christopher Hammerly
Developing multilingual speech synthesis system for Ojibwe, Mi’kmaq, and Maliseet (2025.naacl-short)
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| Challenge: | In general, speech synthesis for Indigenous languages is underdeveloped compared to the majority of languages. |
| Approach: | They propose to train a multilingual model on three typologically similar languages to improve performance over monolingual models. |
| Outcome: | The proposed model can train on three similar languages with high performance and is highly competitive with self-attention architectures with higher memory efficiency. |