Melo T T S English

Introduction

MeloTTS is a high-quality, multilingual text-to-speech (TTS) library developed by MIT and MyShell.ai. The model supports multiple languages and accents, including English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. Notably, the Chinese speaker can handle mixed Chinese and English. The system is efficient enough for real-time inference using a CPU.

Architecture

MeloTTS is inspired by existing TTS frameworks such as TTS, VITS, VITS2, and Bert-VITS2. The architecture is designed to support various languages and accents while maintaining high-quality speech synthesis. The system can operate effectively on both CPUs and GPUs, adapting to the available hardware for optimal performance.

Training

The training process for MeloTTS involves leveraging large multilingual datasets to fine-tune the model for high-quality text-to-speech synthesis across different accents and languages. This process is guided by experts from MIT and MyShell.ai, ensuring that the model achieves state-of-the-art performance.

Guide: Running Locally

1. Install Dependencies: Follow the installation instructions provided here.
2. Usage Example:

   from melo.api import TTS
   
   # Set speed and device
   speed = 1.0
   device = 'auto'  # Automatically uses GPU if available
   
   # Text and model setup
   text = "Did you ever hear a folk tale about a giant turtle?"
   model = TTS(language='EN', device=device)
   speaker_ids = model.hps.data.spk2id
   
   # Generate speech for different accents
   model.tts_to_file(text, speaker_ids['EN-US'], 'en-us.wav', speed=speed)
   model.tts_to_file(text, speaker_ids['EN-BR'], 'en-br.wav', speed=speed)
   model.tts_to_file(text, speaker_ids['EN_INDIA'], 'en-india.wav', speed=speed)
   model.tts_to_file(text, speaker_ids['EN-AU'], 'en-au.wav', speed=speed)
   model.tts_to_file(text, speaker_ids['EN-Default'], 'en-default.wav', speed=speed)
   

3. Cloud GPUs: For better performance, consider using cloud GPU services such as AWS, Azure, or Google Cloud.

License

MeloTTS is licensed under the MIT License, allowing free use for both commercial and non-commercial purposes.