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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.
Description
VeriSpeak's voice identification technology is tailored for developers and integrators working within biometric systems. Its text-dependent speaker recognition algorithm enhances system security by verifying both the voice and the phrase's authenticity. The system allows for voiceprint templates to be matched in two modes: 1-to-1 for verification and 1-to-many for identification. Offered as a software development kit, it facilitates the creation of both stand-alone and network-based speaker recognition applications across Microsoft Windows, Linux, macOS, iOS, and Android platforms. The text-dependent algorithm is particularly effective in preventing unauthorized access by utilizing a user's voice that may have been covertly recorded. It employs two-factor authentication by confirming the authenticity of voice biometrics alongside a pass-phrase. Regular microphones and smartphones are perfectly adequate for capturing user voices, making it accessible for various applications. This multiplatform SDK supports a variety of programming languages, ensuring versatility in development. The solutions come at competitive prices, with flexible licensing options and complimentary customer support, making it an attractive choice for developers looking to implement secure voice recognition systems.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
.NET
C++
Java
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Python
SQLite
Integrations
.NET
C++
Java
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Python
SQLite
Pricing Details
€2500
Free Trial
Free Version
Pricing Details
€339 one-time payment
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
Neurotechnology
Founded
1990
Country
Lithuania
Website
neurotechnology.com
Vendor Details
Company Name
NEUROtechnology
Country
Lithuania
Website
www.neurotechnology.com/verispeak.html