Text-to-Speech That Handles Mixed Chinese-English

What it does

MeloTTS is a text-to-speech library supporting six languages—English (American, British, Indian, Australian, and default accents), Spanish, French, Chinese, Japanese, and Korean. Built atop VITS, VITS2, Bert-VITS2, and Coqui TTS, it offers a Python API, Web UI, and CLI for local synthesis. The Chinese model notably handles mixed Chinese-English input, and the project claims to run fast enough for real-time CPU inference.

The interesting bit

Most open-source TTS tools treat English as a single voice; MeloTTS splits it into five regional accents. The mixed-language Chinese support and MIT license (commercial use included) suggest the authors built it for practical deployment rather than lab demos.

Key highlights

• Six languages with five English regional variants
• Chinese speaker handles mixed Chinese-English input
• Claims CPU real-time inference capability
• MIT license, free for commercial use
• Web UI and CLI available via community contribution

Caveats

• The README states the project is “based on” several existing TTS architectures, but offers no specifics on novel contributions, training data, or quality benchmarks versus those upstream projects.
• “CPU real-time inference” is claimed without hardware specs, latency numbers, or batch size context.

Verdict

A solid candidate if you need a locally runnable, commercially permissive multilingual TTS with mixed-language support. If you require documented SOTA metrics or extensive architectural novelty, the README leaves those questions unanswered.