NN

    Nvidia Noise Removal

    2

    Professional AI-powered audio denoising using NVIDIA Maxine to remove keyboard clicks, fans, and background chatter.

    $12

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Clean up noisy_interview.wav to remove the heavy HVAC hum and keyboard clicks. Set the intensity ratio to 0.7 to keep the voice sounding natural.

    Your agent does

    Processing noisy_interview.wav... [NVIDIA Maxine] Noise intensity reduced by 70%. Target: grpc.nvcf.nvidia.com:443 Status: Success. Output generated: clean_interview.wav Original: Significant HVAC hum & typing clicks. Result: Isolated voice, studio-flat background.

    What you get

    Clean up podcast and voiceover recordings for professional distributionEnhance meeting audio to improve accuracy for transcription and LLM analysisRemove wind and traffic noise from outdoor field interviews and voice memosBatch process video audio tracks to eliminate distracting mechanical hums

    About this skill

    Eliminate Background Noise with NVIDIA Maxine AI

    Transform noisy field recordings into professional studio-quality audio. This skill leverages the NVIDIA Maxine Background Noise Removal (BNR) NIM via gRPC to isolate human speech from distracting environmental sounds. It effectively eliminates high-frequency clicks, low-frequency hums, and chaotic background chatter that standard filters can't touch.

    What it does

    • Removes mechanical noise like keyboard typing, mouse clicks, and PC fans.
    • Filters out environmental distractions including traffic, wind, barking dogs, and HVAC hum.
    • Preserves the natural tone and clarity of the speaker's voice.
    • Provides adjustable intensity ratios (0.0 to 1.0) to balance noise suppression with vocal preservation.

    Why use this skill

    Standard noise gates often cut off the beginning or end of words, while basic EQ filters leave the audio sounding "thin." This AI-driven approach uses deep learning to understand the difference between speech and noise. By automating the gRPC handshake and protobuf communication with NVIDIA's infrastructure, this skill saves developers from the complexity of manual gRPC implementation and environment setup.

    Supported Environment

    • Protocol: High-performance gRPC (TLS secured).
    • Requirements: Python 3.10+, NVIDIA API Key (free), and grpcio.
    • Input: WAV files (up to 35MB).

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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