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MeloTTS

GitHub ⭐ 6000License: MITModel Type: Lightweight TTS

MyShell's open-source lightweight Chinese TTS model, supporting real-time inference on CPU, ideal for edge deployment.

ChineseEnglishJapaneseKoreanFrenchSpanish
LightweightChineseFast InferenceMyShellCPU Inference

MeloTTS is a lightweight multilingual TTS model open-sourced by MyShell, an AI application platform, officially released in early 2024. The project’s core focus is “efficient deployment” — maximizing synthesis quality while minimizing model size and inference cost, enabling speech synthesis to run in real time on ordinary CPUs or even mobile devices. Upon release, MeloTTS quickly garnered widespread community attention for its excellent Chinese synthesis quality and extremely low hardware requirements, making it particularly popular among independent developers and small-to-medium-sized teams.

Technically, MeloTTS adopts a lightweight variant of the VITS (Variational Inference with adversarial learning for end-to-end TTS) architecture, significantly reducing parameter count through model pruning, knowledge distillation, and quantization techniques. The pretrained model is only tens of MB in size — far smaller than mainstream TTS models that run into the hundreds of MB or even GB range. Despite this, MeloTTS delivers impressive naturalness and clarity in Chinese speech synthesis, especially in standard Mandarin reading scenarios, where audio quality approaches that of mainstream commercial solutions. The model supports six languages — Chinese, English, Japanese, Korean, French, and Spanish — each with multiple pretrained voices.

MeloTTS is particularly well-suited for applications requiring localized, low-cost deployment, such as embedded device voice prompts, offline translator audio output, smart home voice interaction, and personal developer voice assistant projects. Thanks to its MIT open-source license, developers are free to use it commercially and for secondary development. The project’s API is clean and intuitive, requiring only a few lines of Python code for inference. However, MeloTTS’s limitations are also clear: emotional expression and prosodic variation are relatively constrained, often resulting in monotonous intonation in long-form or complex-tonality scenarios; voice options are limited, and the model does not support advanced features such as voice cloning.

Tags:LightweightChineseFast InferenceMyShellCPU Inference
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