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.