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Scicom-intl/Multilingual-Normalizer

Multilingual TTS text normalizer (written → spoken) Training pairs for fine-tuning a small LLM as a text-to-speech normalizer: text is a sentence the way people type it (digits, currency symbols, dates, phone numbers, …) and normalized is the exact spoken form, in the same language, with nothing left that a TTS model cannot say. 52,698 rows — 16 monolingual locales and 6 Malaysian code-switched pairs. Every row is digit-free on the spoken side. from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/Multilingual-Normalizer.

sourceHugging Faceupdated 1mo agoView on Hugging Face

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