OuteTTS-0.2-500M

High-performance text-to-speech synthesis model

CommonProductMusicText-to-SpeechSpeech Synthesis

OuteTTS-0.2-500M is a text-to-speech synthesis model built on Qwen-2.5-0.5B. It has been trained on a larger dataset, achieving significant improvements in accuracy, naturalness, vocabulary range, voice cloning capability, and multilingual support. Special thanks to Hugging Face for the GPU funding that supported this model's training.

Enhanced accuracy: Significantly improved prompt following and output coherence compared to the previous version.
Natural speech: Generates smoother and more natural speech synthesis.
Expanded vocabulary: Trained on over 5 billion audio prompt tokens.
Voice cloning: Enhanced voice cloning capabilities with greater diversity and accuracy.
Multilingual support: Added experimental support for Chinese
Japanese
and Korean.
High performance: Based on a 500M parameter model
providing high-quality speech synthesis.
User-friendly: Allows speech generation through a simple interface

The target audience includes developers and companies in need of high-quality speech synthesis
such as voice assistant developers
audiobook producers
and speech synthesis application developers. OuteTTS-0.2-500M meets these users' demands for high-quality voice output with its accuracy and naturalness.

Developers use OuteTTS-0.2-500M to provide natural and smooth voice output for voice assistants.
Audiobook producers utilize this model to convert text content into high-quality audiobooks.
Companies use OuteTTS-0.2-500M to offer multilingual speech synthesis services for their products.

1. Install OuteTTS: Use pip to install the outetts library.
2. Configure the model: Create a model configuration object specifying the model path and language.
3. Initialize the interface: Initialize the OuteTTS interface based on the configuration.
4. Generate speech: Provide text content
set relevant parameters (such as temperature

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OuteTTS-0.2-500M — High-performance text-to-speech synthesis model

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OuteTTS-0.2-500M — High-performance text-to-speech synthesis model

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