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Description
NVIDIA's DeepStream SDK serves as a robust toolkit for streaming analytics, leveraging GStreamer to facilitate AI-driven processing across various sensors, including video, audio, and image data. It empowers developers to craft intricate stream-processing pipelines that seamlessly integrate neural networks alongside advanced functionalities like tracking, video encoding and decoding, as well as rendering, thereby enabling real-time analysis of diverse data formats. DeepStream plays a crucial role within NVIDIA Metropolis, a comprehensive platform aimed at converting pixel and sensor information into practical insights. This SDK presents a versatile and dynamic environment catered to multiple sectors, offering support for an array of programming languages such as C/C++, Python, and an easy-to-use UI through Graph Composer. By enabling real-time comprehension of complex, multi-modal sensor information at the edge, it enhances operational efficiency while also providing managed AI services that can be deployed in cloud-native containers managed by Kubernetes. As industries increasingly rely on AI for decision-making, DeepStream's capabilities become even more vital in unlocking the value embedded within sensor data.
Description
The Neurotechnology AI SDK serves as a versatile, multilingual toolkit aimed at developing applications for speech-to-text and voice processing.
It features a unique ASR engine for precise transcription paired with a Speaker Diarization engine that effectively distinguishes and identifies individual speakers within an audio stream. This toolkit supports languages including English, Lithuanian, Latvian, and Estonian, offering speedy performance on both CPUs and GPUs for real-time and batch processing needs.
Engineered for on-premises deployment, it guarantees that all audio data is processed locally, thereby maintaining complete data privacy and control for users. Its modular design allows developers the flexibility to utilize each component separately or to seamlessly integrate them into either stand-alone or client-server architectures.
Additionally, optional voice biometrics for speaker recognition can be implemented to enhance identity verification processes. The SDK is compatible with both Windows and Linux and includes native libraries for programming languages such as Python, C++, Java, and .NET, making it a valuable tool for transcription workflows, analytics platforms, or voice-driven applications across diverse sectors.
The flexibility of the SDK ensures its applicability in various contexts, catering to the evolving needs of industries that rely heavily on voice and audio processing solutions.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
C++
Python
.NET
C
Helm
Java
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
Integrations
C++
Python
.NET
C
Helm
Java
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€2500
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/deepstream-sdk
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
neurotechnology.com
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization