Description
Ming-3.0-tts-tiny is a sophisticated multilingual speech synthesis model developed by inclusionAI. Built on the Ling V3 backbone, it features a mixture-of-experts architecture with 7.9 billion total parameters, activating about 1.3 billion per token. This model supports a wide range of languages, including Chinese, English, German, Spanish, French, Korean, and Japanese, with dialect control for Sichuanese and Cantonese.
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The model offers zero-shot voice cloning from a short reference clip and allows users to design voices from natural-language speaker descriptions. It provides free-form control over delivery and speaking style, with over 100 built-in Chinese voices and five built-in English voices. Users can control various attributes such as emotion, speed, pitch, and volume, and incorporate paralinguistic elements like breath, cough, sigh, and laughter into the synthesis.
Ming-3.0-tts-tiny requires a separate inference environment, utilizing Python 3.10.15, PyTorch, and torchaudio 2.7.1+cu118. The model is distributed via Hugging Face for checkpoint access, while inference setup and usage instructions are available through the associated GitHub repository. The model supports various tasks, including multilingual synthesis, paralinguistic control, podcast dialogue, and more.
Despite its advanced capabilities, the model has limitations in Korean content accuracy and speaker similarity across multilingual and dialect evaluations. Emotion control can be challenging when words lack emotional signals, and podcast audio quality is an area for improvement. The model is released under the MIT license, emphasizing research and legitimate creative use.
- CategoryText to Speech
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Ming-3.0-tts-tiny Highlights
Mixture of Experts architecture
Ling V3 backbone
Zero-shot voice cloning
Voice design from descriptions
Multilingual synthesis
Dialect control for Sichuanese and Cantonese
Paralinguistic element integration
Explicit emotion, speed, pitch, and volume control
Getting Started with Ming-3.0-tts-tiny
Access model: Visit Hugging Face repository
Authenticate: Clone GitHub repository
Set up environment: Install dependencies
Integrate via API: Use Python API or CLI
Optimize: Adjust parameters for tasks
Ming-3.0-tts-tiny's Use Cases
- Voice Cloning
- Multilingual Synthesis
- Podcast Dialogue
- Paralinguistic Control
- Voice Design
