MeloTTS-English
Text to Speech
FP16
post
MeloTTS-English: TTS

MeloTTS-English is a high-quality multilingual text-to-speech (TTS) model jointly developed by MIT and MyShell.ai, supporting various English accents, including American, British, Indian, Australian, and default accents. The model leverages advanced Transformer architecture, integrating technologies such as VITS, VITS2, and Bert-VITS2, aiming to provide natural and fluent speech synthesis.

Source model

Source model repository: MeloTTS-English

Key Features

  • Multi-accent Support: Includes American, British, Indian, Australian, and default accents.
  • Real-time Inference: Optimized for real-time inference on CPUs without the need for GPU acceleration.
  • High-Quality Speech Output: Generates natural and clear speech suitable for various applications.
  • Easy Integration: Provides a Python API for seamless integration into applications.
  • Open Source License: Licensed under MIT, supporting both commercial and non-commercial use.

Technical Architecture

MeloTTS-English is based on Transformer architecture, combined with advanced technologies such as VITS, VITS2, and Bert-VITS2, enabling the generation of high-quality speech output.

Performance Reference

Device

Backend
Precision
Inference Time
Accuracy Loss
File Size
Model Resource Acquisition

Model Farm provides optimized model resources and test code, which can be obtained through the following two methods:

  • Obtain via Model Farm page: Click Models & Test Code in the Performance Reference section on the right to obtain model resources and code packages.

  • Obtain via command line (Recommand): Users with APLUX development boards can obtain model resources and code packages through the built-in MMS tool.

# Search Models
mms list [model name]

# Get Models
mms get -m [model name] -p [precision] -c [soc] -b [backend] -d [file path]

For MMS usage, please refer to: MMS Usage & Access to Preview Models

Model Optimization

To be released

Model Inference

To be released

License
Source Model:MIT
Deployable Model:APLUX-MODEL-FARM-LICENSE
Performance Reference

Device

Backend
Precision
Inference Time
Accuracy Loss
File Size