Update README.md
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PHBJT
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README.md
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@@ -17,13 +17,13 @@ pipeline_tag: text-to-speech
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inference: false
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datasets:
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- facebook/multilingual_librispeech
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- PHBJT/cml-tts-cleaned-levenshtein
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- PHBJT/multilingual_librispeech_text_description_capitalized
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- PPHBJT/cml-tts-description-punctuation-and-casing-restored
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- parler-tts/libritts_r_filtered
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- parler-tts/libritts-r-filtered-speaker-descriptions
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- parler-tts/mls_eng
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- parler-tts/mls-eng-speaker-descriptions
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---
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<img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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@@ -37,7 +37,7 @@ datasets:
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**Parler-TTS Mini Multilingual v1.1** is a multilingual extension of [Parler-TTS Mini](https://huggingface.co/parler-tts/parler-tts-mini-v1.1).
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It is a fine-tuned version, trained on a [cleaned version](https://huggingface.co/datasets/PHBJT/cml-tts-
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In all, this represents some 9,200 hours of non-English data. To retain English capabilities, we also added back the [LibriTTS-R English dataset](https://huggingface.co/datasets/parler-tts/libritts_r_filtered), some 580h of high-quality English data.
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**Parler-TTS Mini Multilingual** can speak in 7 European languages: English, French, Spanish, Portuguese, Polish, German, Italian and Dutch.
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inference: false
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datasets:
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- facebook/multilingual_librispeech
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- parler-tts/libritts_r_filtered
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- parler-tts/libritts-r-filtered-speaker-descriptions
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- parler-tts/mls_eng
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- parler-tts/mls-eng-speaker-descriptions
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- PHBJT/mls-annotated
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- PHBJT/cml-tts-filtered-annotated
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- PHBJT/cml-tts-filtered
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---
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<img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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**Parler-TTS Mini Multilingual v1.1** is a multilingual extension of [Parler-TTS Mini](https://huggingface.co/parler-tts/parler-tts-mini-v1.1).
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It is a fine-tuned version, trained on a [cleaned version](https://huggingface.co/datasets/PHBJT/cml-tts-filtered) of [CML-TTS](https://huggingface.co/datasets/ylacombe/cml-tts) and on the non-English version of [Multilingual LibriSpeech](https://huggingface.co/datasets/facebook/multilingual_librispeech).
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In all, this represents some 9,200 hours of non-English data. To retain English capabilities, we also added back the [LibriTTS-R English dataset](https://huggingface.co/datasets/parler-tts/libritts_r_filtered), some 580h of high-quality English data.
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**Parler-TTS Mini Multilingual** can speak in 7 European languages: English, French, Spanish, Portuguese, Polish, German, Italian and Dutch.
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