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知秋桌宠 - 高质量语音模型（Qwen3-TTS）

This content requires the base game 知秋~英语日语单词背诵学习陪伴桌宠~ on Steam in order to play.

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Features
Languages:
Interface Full Audio Subtitles
English ✔
Simplified Chinese ✔ ✔ ✔
Japanese ✔
English language not supported

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About This Content

Let Zhiqiu accompany your study sessions and everyday conversations with a more natural, detailed and expressive voice. This model is designed for players who value richer voice quality and have a higher-performance Windows computer.

This voice is offered through the “Zhiqiu Desktop Pet - Dual Voice Models” bundle, which grants both the Qwen3-TTS high-quality voice and the broadly compatible GPT-SoVITS voice.

AI Generated Content Disclosure

The developers describe how their game uses AI Generated Content like this:

This DLC provides a local Qwen3-TTS voice model for real-time speech synthesis in the base application. Text is checked and filtered by the base application before it is converted into speech. Generated audio remains local and is not automatically uploaded or shared.

System Requirements

    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windows 10 64-bit
    • Processor: 64-bit dual-core processor
    • Memory: 4 GB RAM
    • Graphics: DirectX 11-compatible integrated or discrete graphics
    • DirectX: Version 11
    • Storage: 2 GB available space
    • Sound Card: Windows-compatible audio device
    • Additional Notes: These requirements cover the core vocabulary-study and desktop-companion features. Optional local TTS runtime and voice-model DLCs require additional storage and computing resources.
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11 64-bit
    • Processor: Modern 6-core x64 processor
    • Memory: 16 GB RAM
    • Graphics: NVIDIA GPU with 6 GB VRAM and current drivers for accelerated local GPT-SoVITS TTS; Qwen3-TTS requirements depend on the selected model.
    • DirectX: Version 11
    • Storage: 16 GB available space
    • Sound Card: Windows-compatible audio device
    • Additional Notes: Recommended hardware is intended for optional local TTS. Install matching runtime and voice-model resources and enable real-time TTS in Settings > Voice. CPU inference can be slower; Qwen3-TTS resource requirements vary by model. LLM chat and cloud speech require separately installed and configured Workshop extensions.
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