meizhong986

    meizhong986/WhisperJAV

    ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV

    llm
    aitranslate
    hallucination
    japanese
    modelscope
    qwen3
    Python
    MIT
    2.4K stars
    205 forks
    2.4K GitHub watchers
    Updated Nov 4, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 5 days ago, with 7 contributors on GitHub.

    Use Cases & Benefits

    • Generates noise-robust Japanese subtitles from adult video audio using advanced ASR models and scene-based segmentation.
    • Improves transcription accuracy in challenging acoustic environments by combining multiple ASR backends and defensive decoding to reduce hallucinations.
    • Use for creating accurate subtitles for long-form Japanese adult videos with spontaneous, noisy audio.
    • Use for batch processing and translating subtitles of Japanese video content with customizable sensitivity and enhancement options.
    • Use for research or development involving Japanese speech-to-text in low SNR and dialect-rich audio domains requiring fine-tuned linguistic adaptation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

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    From the README

    A subtitle generator for Japanese Adult Videos.

    Transformer-based ASR architectures like Whisper suffer significant performance degradation when applied to the spontaneous and noisy domain of JAV. This degradation is driven by specific acoustic and temporal characteristics that defy the statistical distributions of standard training data.

    Excerpt from the meizhong986/WhisperJAV README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    205+34

    Open issues

    70-65

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    meizhong986/WhisperJAV2.4K—605 days ago
    Category median113.6K+5.5K60—

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