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**Parler-TTS Mini v1.1** is a lightweight text-to-speech (TTS) model, trained on 45K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).
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π¨ **Parler-TTS Mini v1.1** is the exact same model than [Mini v1](https://huggingface.co/parler-tts/parler-tts-mini-v1). It was trained on the same datasets and with the same training configuration. The only **change** is the use of a **better prompt tokenizer**. This tokenizer has a larger vocabulary and handles byte fallback, which simplifies multilingual training. It's based on [unsloth/llama-2-7b](https://huggingface.co/unsloth/llama-2-7b) tokenizer
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## π Quick Index
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**Parler-TTS Mini v1.1** is a lightweight text-to-speech (TTS) model, trained on 45K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).
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π¨ **Parler-TTS Mini v1.1** is the exact same model than [Mini v1](https://huggingface.co/parler-tts/parler-tts-mini-v1). It was trained on the same datasets and with the same training configuration. The only **change** is the use of a **better prompt tokenizer**. This tokenizer has a larger vocabulary and handles byte fallback, which simplifies multilingual training. It's based on [unsloth/llama-2-7b](https://huggingface.co/unsloth/llama-2-7b) tokenizer. Thanks to the **[AI4Bharat](https://ai4bharat.iitm.ac.in/) team** who provided advice and assistance in improving tokenization. π¨
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## π Quick Index
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