ESPnet2 TTS

What is ESPnet2 TTS ?

ESPnet2 TTS is an open-source toolkit designed for text-to-speech (TTS) tasks. It allows users to generate speech from text in multiple languages with high flexibility and efficiency. Built on the popular ESPnet framework, ESPnet2 TTS is widely used for research and practical applications in speech synthesis.

Features

• Multi-language support: Generate speech in multiple languages with pre-trained models.
• Vocoder options: Supports various vocoder technologies for high-quality speech synthesis.
• Flexible architecture: Easily customize models and experiment with different configurations.
• Voice diversity: Create speech with different voices or speakers using multi-speaker models.
• Open-source: Free to use, modify, and distribute for both research and commercial purposes.

How to use ESPnet2 TTS ?

1. Install ESPnet2 TTS using pip:

   pip install espnet2
   

2. Prepare text data for synthesis (e.g., a text file).
3. Download a pre-trained model from the ESPnet2 repository.
4. Use the synthesis script to generate speech:

   python espnet2/bin/tts_inference.py --text "Your text here" --model /path/to/model
   

5. Customize settings or models as needed for specific use cases.

Frequently Asked Questions

What languages does ESPnet2 TTS support?
ESPnet2 TTS supports a wide range of languages, including English, Chinese, Japanese, Spanish, French, and many others. The availability of models depends on pre-trained resources.

Do I need FFmpeg installed to use ESPnet2 TTS?
Yes, FFmpeg is required for processing audio files. Ensure FFmpeg is installed on your system before using ESPnet2 TTS.

Can I use my own voice with ESPnet2 TTS?
Yes, ESPnet2 TTS supports voice cloning and multi-speaker models. You can train a model with your own voice data for personalized speech synthesis.