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Ming-3.0-tts-0.5B

AI ModelsText to SpeechOpen source · Web

Ming-3.0-tts-0.5B is a multilingual speech synthesis model offering zero-shot voice cloning and free-form control. It supports multiple languages and dialects, providing explicit control over emotion, speed, pitch, and volume.

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Ming-3.0-tts-0.5B is a dense multilingual speech synthesis model developed by inclusionAI, hosted on Hugging Face. It is built on the Qwen2.5-0.5B backbone and features 0.5 billion parameters. The model supports a wide range of languages, including Chinese, English, German, Spanish, French, Korean, and Japanese, along with dialects such as Sichuanese and Cantonese.

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The model offers advanced capabilities like zero-shot voice cloning from a short reference clip and voice design from natural-language speaker descriptions. Users can exercise free-form control over delivery and speaking style, with 100+ built-in Chinese voices and five built-in English voices available. Additionally, it provides 14 inline tags for paralinguistic sounds like breath, cough, sigh, and laughter in Chinese or English, and allows explicit control over emotion, speed, pitch, and volume.

Ming-3.0-tts-0.5B is designed for research and creative use, with a focus on multilingual synthesis and dialect control. It requires the Ming-3.0-tts GitHub repository for inference, as the Hugging Face repository is primarily for checkpoint distribution. The model is tested on NVIDIA H800-80GB and H20-96G with CUDA 12.4, and supports both CLI and Python API for integration.

The model's performance is benchmarked against other open-source models, showing competitive results in zero-shot TTS and multilingual synthesis. However, it has limitations in speaker similarity compared to content accuracy, and emotion control can be challenging when words lack emotional signals. Users are advised to label synthetic speech appropriately and avoid misuse, such as impersonating real individuals without consent.

  • CategoryText to Speech
  • Pricing ModelOpen source
  • DeploymentCloud
  • PlatformsWeb

  • Dense multilingual speech synthesis

  • Zero-shot voice cloning

  • Voice design from natural-language descriptions

  • Free-form control of delivery and style

  • 100+ built-in Chinese voices

  • Explicit emotion, speed, pitch, and volume control

  • Multilingual synthesis with dialect control

  • Python API and CLI support

  1. Access model: Visit Hugging Face repository

  2. Authenticate: Clone GitHub repository

  3. Set up environment: Follow README instructions

  4. Integrate via API: Use Python API or CLI scripts

  5. Optimize: Adjust parameters for desired output

  • Voice Cloning
  • Multilingual Synthesis
  • Emotion Control
  • Paralinguistic Sounds
  • Voice Design

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