spark-tts
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README.md
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license: apache-2.0
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Spark-TTS
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</h1>
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<p>
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Official
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<b><em>Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens</em></b>
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</p>
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<p>
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</p>
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<a href="https://sparkaudio.github.io/spark-tts/"
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<
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<a href="https://github.com/SparkAudio/Spark-TTS"
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</div>
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## Spark-TTS π₯
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### Overview
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Spark-TTS is an advanced text-to-speech system that uses the power of large language models (LLM) for highly accurate and natural-sounding voice synthesis. It is designed to be efficient, flexible, and powerful for both research and production use.
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## **Demos**
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Here are some demos generated by Spark-TTS using zero-shot voice cloning. For more demos, visit our [demo page](https://spark-tts.github.io/).
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**Donald Trump**
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**Zhongli (Genshin Impact)**
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[Donald Trump](https://github.com/user-attachments/assets/fb225780-d9fe-44b2-9b2e-54390cb3d8fd)
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[Zhongli](https://github.com/user-attachments/assets/80eeb9c7-0443-4758-a1ce-55ac59e64bd6)
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**ιι²θ±« Chen Luyu**
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**ζ¨ζΎ Yang Lan**
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[ιι²θ±«Chen_Luyu.webm](https://github.com/user-attachments/assets/5c6585ae-830d-47b1-992d-ee3691f48cf4)
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[Yang_Lan.webm](https://github.com/user-attachments/assets/2fb3d00c-abc3-410e-932f-46ba204fb1d7)
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**δ½ζΏδΈ Richard Yu**
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**ι©¬δΊ Jack Ma**
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[Yu_Chengdong.webm](https://github.com/user-attachments/assets/78feca02-84bb-4d3a-a770-0cfd02f1a8da)
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[Ma_Yun.webm](https://github.com/user-attachments/assets/2d54e2eb-cec4-4c2f-8c84-8fe587da321b)
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**εεΎ·ε Andy Lau**
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**εΎεΏθ Xu Zhisheng**
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[Liu_Dehua.webm](https://github.com/user-attachments/assets/195b5e97-1fee-4955-b954-6d10fa04f1d7)
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[Xu_Zhisheng.webm](https://github.com/user-attachments/assets/dd812af9-76bd-4e26-9988-9cdb9ccbb87b)
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**εͺε Nezha**
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**ζι Li Jing**
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[Ne_Zha.webm](https://github.com/user-attachments/assets/8c608037-a17a-46d4-8588-4db34b49ed1d)
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[Li_Jing.webm](https://github.com/user-attachments/assets/aa8ba091-097c-4156-b4e3-6445da5ea101)
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## To-Do List
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- [ ] Release the Spark-TTS paper.
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---
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license: apache-2.0
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language:
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- en
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tags:
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- text-to-speech
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library_tag: spark-tts
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---
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Spark-TTS
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</h1>
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<p>
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Official model for <br>
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<b><em>Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens</em></b>
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</p>
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<p>
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</p>
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<p>
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</p>
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<a href="https://sparkaudio.github.io/spark-tts/">
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<img src="https://img.shields.io/badge/Demo-Page-lightgrey" alt="version">
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</a>
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<a href="https://github.com/SparkAudio/Spark-TTS">
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<img src="https://img.shields.io/badge/GitHub-Repo-black?logo=github" alt="GitHub Repo">
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</a>
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<a href="https://github.com/SparkAudio/Spark-TTS">
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<img src="https://img.shields.io/badge/Python-3.12+-orange" alt="version">
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</a>
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<a href="https://github.com/SparkAudio/Spark-TTS">
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<img src="https://img.shields.io/badge/PyTorch-2.5+-brightgreen" alt="python">
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</a>
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<a href="https://github.com/SparkAudio/Spark-TTS">
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<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="mit">
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</a>
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</div>
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## Spark-TTS π₯
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### ππ» [Spark-TTS Demos](https://sparkaudio.github.io/spark-tts/) ππ»
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### Overview
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Spark-TTS is an advanced text-to-speech system that uses the power of large language models (LLM) for highly accurate and natural-sounding voice synthesis. It is designed to be efficient, flexible, and powerful for both research and production use.
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## To-Do List
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- [ ] Release the Spark-TTS paper.
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