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Noise Removal: Removes common background noise using state-of-the-art AI models, while preserving the speaker’s natural voice.

With AI-based technology, more effective cancellation is achieved than with traditional digital signal processing.

Acoustic Echo Cancellation: Cancels real-time acoustic device echo from the input audio stream, eliminating mismatched acoustic pairs and double-talk.

It currently supports upsampling from 8kHz to 16 kHz and from 16 kHz to 48 kHz.

Audio Super Resolution: Improves audio quality by increasing the temporal resolution of audio signal.

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In desktop applications, the optimized models allow multiple applications, such as games, to run concurrently with minimal impact to the quality of both applications.ĭevelopers can integrate the Audio Effects SDK into standalone Windows and Linux applications to process microphone and speaker audio, or into high-density servers for processing thousands of audio streams per server. High-performance, optimized AI models enable users to process thousands of audio streams per GPU in real time, enhancing audio quality by up to two mean-opinion-score points in subjective and objective quality metrics including Perceptual Evaluation of Speech Quality and Perceptual Objective Listening Quality Analysis. The Audio Effects SDK delivers multi-effect, low-latency audio quality enhancement algorithms, improving end-to-end conversation quality for narrowband, wideband, and ultra-wideband audio. Live Portrait Microservice contains the Live Portrait feature, which animates a person's portrait photo through their live video feed by matching the head movement and facial expressions to the photo. Video Effects Microservice offers the following GPU-accelerated AI-based video effects: Microservices can be independently managed and deployed within the application, accelerating development time.Īudio Effects Microservice offers the following GPU-accelerated AI-based audio effects: These packages contain all end-to-end applications with necessary dependencies, which can be easily deployed on public and private clouds, and enable client applications to provide the benefits of NVIDIA Maxine algorithms via cloud-based GPU computing. The microservices are ready-to-use containerized packages of cloud applications that are built from Maxine algorithms. Maxine’s cloud-native microservices allow developers to build real-time AI applications for high-quality audio and video communications. NVIDIA AI Enterprise is an extensive library of full-stack software, including AI solution workflows, frameworks, pretrained models, and infrastructure optimization.

NVIDIA Maxine is part of NVIDIA AI Enterprise. Personal engagement increases when audio and video quality is improved on video conferencing and communications platforms, and shared eye contact during video calls helps improve interpersonal connection. Maxine can be deployed on premises, in the cloud, or at the edge.īeing successful while working remotely, on the road, or in a customer service center, all require increased presence - so video conferencing services and communications platforms must enable workers to be seen and heard clearly. Maxine’s state-of-the-art models create high quality effects that can be achieved with standard microphone and camera equipment. NVIDIA Maxine is a suite of GPU-accelerated AI SDKs and cloud-native microservices for deploying AI features that enhance audio, video, and augmented reality effects in real time.

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