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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 views • 1 year ago •via X (Twitter)

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8 Comments

Rohan Paul1 year ago

GitHub: HuggingFace Model:

ashpool1 year ago

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

Rohan Paul1 year ago

Cool idea

Rohan Paul1 year ago

Supported Languages

neb1 year ago

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.

Rohan Paul1 year ago

👍

wejh1 year ago

Can we quantize this to fit on an iPhone 🔥

Rohan Paul1 year ago

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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