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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 次观看 • 1 年前 •via X (Twitter)

健康养生科学技术

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8 条评论

Rohan Paul 的头像

Rohan Paul1 年前

GitHub: HuggingFace Model:

ashpool 的头像

ashpool1 年前

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

Rohan Paul 的头像

Rohan Paul1 年前

Cool idea

Rohan Paul 的头像

Rohan Paul1 年前

Supported Languages

neb 的头像

neb1 年前

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 Paul 的头像

Rohan Paul1 年前

👍

wejh 的头像

wejh1 年前

Can we quantize this to fit on an iPhone 🔥

Rohan Paul 的头像

Rohan Paul1 年前

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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