MOSS-TTS-Nano: CPU setup and voice cloning review

This tutorial reviews MOSS-TTS-Nano, the CPU speech-synthesis and voice-cloning member of the MOSS TTS family. The source metadata describes it as a 0.1B open source model that runs on a four-core CPU. The presenter installs it on Ubuntu, creates a Conda environment, clones the repository and installs its prerequisites. He then launches a locally hosted Gradio interface with cosmetic changes of his own. The demo reports CPU execution and downloads the model before use.

The interface accepts target text and provides preset voices or reference audio for voice cloning. The presenter describes support for streaming inference and long text, though the examples focus on speech generation and cloning. He says the model supports around five languages, naming Chinese, English, Japanese and Arabic; later tests also use Spanish and German.

He likes the English preset output and gives a positive assessment of the Japanese sample. The Chinese output does not sound female to him despite the selected voice. His cloning assessments are less favorable: he hears little resemblance in Arabic, some resemblance in Spanish and no convincing match in German. He also questions the Arabic pronunciation and asks native speakers for feedback. These are his judgments of the samples, rather than a measured language-quality benchmark.

CPU usage rises during generation, and the German example takes roughly 30 to 40 seconds according to the presenter. The review gives local AI users a setup walkthrough alongside specific limits observed in these voice cloning tests.