Welcome to the world of MeloTTS, a powerful text-to-speech library that enables you to generate high-quality speech in multiple languages. Whether you’re creating an application that needs to converse with users or simply curious about text-to-speech technology, this guide is designed to walk you through the setup and usage of MeloTTS seamlessly.

What is MeloTTS?

MeloTTS is a robust multi-lingual text-to-speech library developed by MyShell.ai. With support for a variety of languages including English, Spanish, French, Chinese, Japanese, and Korean, you’ll find it incredibly versatile for generating spoken content. Let’s dive in!

Supported Languages

MeloTTS supports various dialects and accents within each language. Here’s a quick overview:

• English
  • American
  • British
  • Indian
  • Australian
  • Default
• Spanish: Example Link
• French: Example Link
• Chinese: Example Link
• Japanese: Example Link
• Korean: Example Link

Usage

Without Installation

If you’d like to try out MeloTTS without installing anything, there’s an unofficial live demo available on Hugging Face Spaces.

Using MeloTTS on MyShell

MyShell hosts hundreds of TTS models, including but not limited to MeloTTS. You can explore examples here and check out more at the widget center of MyShell.ai.

Install and Use Locally

If you prefer to use MeloTTS locally, follow these steps:

1. First, install the library following the instructions here.
2. Once installed, you can use the following code snippet in Python:

from melo.api import TTS

# Speed is adjustable
speed = 1.0

# CPU is sufficient for real-time inference.
# You can also change to cuda:0
device = 'cpu'

text = "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante."
model = TTS(language='ES', device=device)

speaker_ids = model.hps.data.spk2id
output_path = "es.wav"
model.tts_to_file(text, speaker_ids['ES'], output_path, speed=speed)

Troubleshooting Tips

If you encounter any issues while using MeloTTS, here are some troubleshooting ideas:

• Ensure that your Python environment has all necessary dependencies. Use pip to install any missing packages.
• Check the language codes and paths carefully in your Python script.
• If you are running into performance issues, consider using a machine with a dedicated GPU.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.