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The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️

Rohan Paul

150,031 subscribers

228,836 просмотров • 1 год назад •via X (Twitter)

Здоровье и велнес Наука и технологии

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Комментарии: 8

Фото профиля Rohan Paul

Rohan Paul1 год назад

GitHub: HuggingFace Model:

Фото профиля ashpool

ashpool1 год назад

Will somebody please stuff this into a browser so my phone can read things to me?

Фото профиля Rohan Paul

Rohan Paul1 год назад

Cool idea

Фото профиля Rohan Paul

Rohan Paul1 год назад

Supported Languages

Фото профиля neb

neb1 год назад

Hmmmm license is so so... Only advantage over CosyVoice is that there more language supported for the moment. Still will be using Cosyvoice for moment.

Фото профиля Rohan Paul

Rohan Paul1 год назад

👍

Фото профиля wejh

wejh1 год назад

Can we quantize this to fit on an iPhone 🔥

Фото профиля Rohan Paul

Rohan Paul1 год назад

Yes, we should be able to apply Vector Quantization or DQR (Dynamic Quantized Representations). Another alternative would be MELLE for preserving fidelity. MELLE uses continuous-valued tokens and a regression loss function to model the probability distribution of these tokens, achieving superior performance and robustness compared to models using discrete codes

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