Papers by Karl El Hajal
kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech (2025.naacl-short)
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| Challenge: | Neural text-to-speech (TTS) models typically rely on extensive transcribed speech datasets and intricate training pipelines. |
| Approach: | They propose a framework for zero-shot multi-speaker text-to-speech using retrieval methods which leverage the linear relationships between SSL features. |
| Outcome: | The proposed framework achieves comparable performance to state-of-the-art models trained on large training datasets. |