nvidia-maxine-audio-effects

The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.

---
name: nvidia-maxine-audio-effects
description: Use NVIDIA Maxine / NVIDIA AI for Media audio effects for speech cleanup and enhancement in live or offline media pipelines, including Background Noise Removal, denoise+dereverb, room echo removal, acoustic echo cancellation, audio super-resolution, Studio Voice, Speaker Focus, and Voice Font. Use when selecting, integrating, prompting around, QAing, or privacy-reviewing NVIDIA AFX SDK or BNR NIM workflows for conferencing, broadcast, podcast, avatar, ad, social, and video post-production audio.
---

# NVIDIA Maxine audio effects

Use this skill to plan and operate NVIDIA Maxine Audio Effects, now under NVIDIA AI for Media, as an audio cleanup and enhancement stage. Treat it as a production and integration skill, not as a sound-generation prompt recipe: the core work is choosing the correct effect, preparing audio correctly, protecting speaker rights, running the SDK or NIM in the right runtime, and proving that the processed speech is clearer without damaging the performance.

Facts below were verified against official NVIDIA documentation on 2026-07-10. Re-check NVIDIA docs, NGC, and license terms before quoting exact model profiles, supported GPUs, SDK versions, file limits, or access requirements in a production proposal.

## Capability boundaries

NVIDIA documents these Audio Effects SDK capabilities:

- `denoiser` / Background Noise Removal (BNR): remove common background noises from speech while preserving natural speech as much as possible.
- `dereverb`: suppress room echo/reverberation from recordings made in reflective rooms.
- `dereverb_denoiser`: use the combined denoise + dereverb model when both noise and reverb are present; do not chain separate denoiser and dereverb effects when NVIDIA provides the combined effect for that case.
- `aec`: acoustic echo cancellation for live bidirectional communication. This is not the same as dereverb; it needs near-end microphone audio plus a far-end/reference signal.
- `superres`: audio super-resolution, typically 8 kHz -> 16 kHz or 16 kHz -> 48 kHz, to restore/predict missing high-frequency content.
- `studio_voice_high_quality`: offline enhancement for degraded speech from poor microphones, noise filters, beamforming, static, or non-ideal acoustics.
- `studio_voice_low_latency`: real-time Studio Voice variant; use for live conferences or broadcasts, not offline batch finishing.
- `speaker_focus`: Early Access speaker isolation for keeping the primary speaker while suppressing other speakers and some noises.
- `voice_font_high_quality` / `voice_font_low_latency`: Early Access any-to-any voice conversion using reference speech. Treat as voice identity transformation requiring explicit consent and review.

NVIDIA BNR NIM is narrower than the full AFX SDK. Use it for Background Noise Removal through a containerized gRPC service or hosted Try API; do not assume NIM exposes dereverb, AEC, super-resolution, Studio Voice, Speaker Focus, or Voice Font unless current NVIDIA docs say so.

Do not use Maxine audio effects when the user needs:

- music generation, Foley, or sound design;
- source separation of music stems;
- creative voice acting or TTS;
- legal-quality forensic restoration;
- restoring clipped, over-compressed, or missing speech content beyond what enhancement can plausibly recover.

## Choose the runtime first

Select the deployment path before designing the cleanup chain.

### Local AFX SDK

Use the AFX SDK when the application needs one or more SDK effects beyond BNR, local custody, low-latency client integration, or direct control of sample format, batching, and chained effects. NVIDIA positions Windows SDK packages for client-side applications and Linux SDK packages for server/datacenter/cloud deployments. The SDK requires NVIDIA GPUs with Tensor Cores; official docs list Turing, Ampere, Ada, Hopper, and Blackwell families for current Linux SDK support.

Operational implications:

- Install the base SDK and the feat