Background Noise Removal (BNR) model is an audio background noise removal model from NVIDIA. It removes a variety of background noises from audio recordings.
What Is NVIDIA NIM?
NVIDIA NIM™, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers and workstations. Supporting a wide range of AI models, including open-source and NVIDIA AI Foundation and custom models, it ensures seamless, scalable AI inferencing, on-premises or in the cloud, leveraging industry standard APIs.
Background Noise Removal (BNR) NIM
Background Noise Removal (BNR) model is an audio background noise removal model from NVIDIA. It removes a variety of background noises from audio recordings. It also retains emotive tones in speech, such as happy, sad, excited and angry tones
NVIDIA NIM offers prebuilt containers for AI models across computer vision, audio, LLMs, and more. Each NIM consists of a container and a model and uses a CUDA-accelerated runtime for all NVIDIA GPUs, with special optimizations available for many configurations. Whether on-premises or in the cloud, NIM is the fastest way to achieve accelerated inference at scale.
Getting started with NVIDIA NIM
Deploying and integrating NVIDIA NIM is straightforward thanks to our industry-standard APIs. Visit the NVIDIA BNR NIM page for release documentation, deployment guides, and more.
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Governing Terms
Use of the NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of this model is governed by the NVIDIA Open Model License.
You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.