Nvidia Studio Voice

    4

    Turn low-quality voice recordings into professional studio-grade audio using NVIDIA Maxine AI.

    $12

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    nvidia-studio-voice

    Example session with this skill installed

    Enhance the clarity of raw_podcast_session.wav using the NVIDIA Maxine 48kHz HQ model to make it sound like a professional studio recording.

    • Read your context and instructions
    • Compiled the nvidia-studio-voice

    Processing "raw_podcast_session.wav"...
    [NVIDIA Maxine] Applying 48kHz HQ Enhancement...
    [Success] Noise removed, echo cancelled, and frequencies restored.
    Output saved to: output_studio.wav (48,000Hz, Mono, PCM16)
    Quality: Studio Profile applied.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Convert home-recorded podcast tracks into professional studio exportsRemove background hiss and room echo from video meeting recordingsEnhance low-bitrate voiceovers for YouTube or educational coursesNormalize and clarify remote interview audio from guests with poor mics

    About this skill

    Transform Laptop Audio into Studio Quality

    Low-quality microphones, room echo, and background hiss can ruin professional content. This skill leverages NVIDIA Maxine AI via the Studio Voice NIM to intelligently reconstruct audio signals, making even the cheapest laptop mic sound like a high-end $500 condenser microphone.

    What it does

    The skill automates the complex gRPC-based workflow required to interact with NVIDIA's Maxine architecture. It handles the processing of WAV files through local Python clients, manages secure TLS communication with NVIDIA's infrastructure, and outputs high-fidelity 48kHz audio that is clear, denoised, and professional.

    Why use this skill

    • Skip the boilerplate: Setting up gRPC, Protobuf compilation, and specialized Python clients is a headache. This skill manages the technical overhead.
    • Enterprise-grade AI: Unlike basic noise suppression, Maxine uses deep learning to regenerate missing frequencies and remove reverberation.
    • Developer-friendly: Integrates directly with your CLI/Agent workflow to process local audio assets instantly.

    Supported Tools

    Uses Python, gRPC, and the NVIDIA Maxine Studio Voice NIM. Integrates seamlessly with FFmpeg for source conversion and handles 48kHz HQ, 48kHz Low-Latency, and 16kHz HQ models.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 5 months ago

    • Passed all security checks, Safe to install

    Listed5 months ago

    What's inside

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