The removes common background noise while preserving the speaker’s natural voice. Also referred to as Background Noise Removal/Suppression/Denoiser
Noise Removal/Background Noise Suppression Effect
This effect is also referred to as Background Noise Removal/Background Noise Suppression/Denoiser
Recordings of speech made outside of a recording studio contain a lot of background noise. The Audio Denoiser Effect removes a variety of background noises from audio recordings.
This effect retains emotive tones in speech, such as happy, sad, excited and angry tones, which were removed as noise in previous versions of the SDK. Extreme emotive cases, such as loud laughing, shrieking, screaming and crying might not be retained. Extremely loud noises in input (SNR < 5 dB) may result in distorted output.
BNR 2.0 is a newer version of the Noise Removal effect that improves the speech recognition accuracies of ASR systems and integrates seamlessly in pipelines where audio cleaning is required before being used in other subsystems. It supports all the noise profiles supported by the stable denoiser effect.
Using this effect
To use this effect,
- Download the SDK corresponding to your platform: To download the SDK, navigate to the Artifacts tab above and download the SDK under resources
- Download the models for this effect using the feature download script provided in the SDK (or optionally, from NGC UI). For more details, refer to the programming guide for the SDK
- Follow the steps in the SDK to download the SDK samples
Terms of Use
The use of this software is governed by the following agreements:
