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Generate speech from text in multiple languages
Sherpa Onnx Tts

Sherpa Onnx Tts

A demo of Sherpa-Onnx Models and in particular the MMS model

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What is Sherpa Onnx Tts ?

Sherpa Onnx Tts is a text-to-speech (TTS) system that leverages the Sherpa-Onnx models, particularly the MMS model, to generate high-quality audio from text input. It is designed to work seamlessly with ONNX (Open Neural Network Exchange) models, ensuring efficient and optimized speech synthesis. This tool is ideal for developers and users looking to integrate TTS capabilities into their applications, offering multilingual support and real-time audio generation.

Features

• Multilingual Support: Generate speech in multiple languages with native accents and intonation.
• ONNX Optimization: Utilizes ONNX models for efficient and fast inference, making it suitable for both desktop and mobile applications.
• Real-Time Processing: Converts text to speech in real-time, providing a responsive user experience.
• Customizable Voices: Supports various voice models, allowing users to choose the most suitable voice for their needs.
• Flexible Audio Formats: Outputs audio in popular formats such as WAV and MP3.

How to use Sherpa Onnx Tts ?

  1. Install the Required Package: Begin by installing the Sherpa-Onnx Tts package using pip:
    pip install sherpa-onnx-tts
    
  2. Import the Library: Import the TTS class from the sherpa_onnx_tts module in your Python script:
    from sherpa_onnx_tts import TTS
    
  3. Initialize the Model: Load the TTS model for your desired language (e.g., English, Spanish, Mandarin):
    tts = TTS('en')  # Initialize for English
    
  4. Generate Audio: Use the loaded model to convert text to speech:
    audio = tts("This is an example sentence for text-to-speech.")
    
  5. Save the Audio: Save the generated audio to a file:
    audio.save("output.wav")
    

Frequently Asked Questions

What languages are supported by Sherpa Onnx Tts?
Sherpa Onnx Tts supports a wide range of languages, including English, Spanish, French, Mandarin, German, and many others. The exact list of supported languages depends on the models available within the Sherpa-Onnx framework.

Is Sherpa Onnx Tts compatible with mobile devices?
Yes, Sherpa Onnx Tts is optimized for both desktop and mobile applications due to its efficient ONNX model architecture, making it suitable for deployment on resource-constrained devices.

Do I need advanced technical skills to use Sherpa Onnx Tts?
No, Sherpa Onnx Tts is designed to be user-friendly. Basic Python programming knowledge is sufficient to integrate and use the library in your projects.

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