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Average Ratings 0 Ratings
Description
The STM32 GUI hardware collection boasts the most extensive range of high-performance graphics-capable MCUs and MPUs available in the market. Accompanying this robust lineup are cutting-edge development tools, which can be accessed for free through resources like TouchGFX and STemWIN Reference designs, along with a selection of GUI software and design collaborators. Users can benefit from comprehensive support, a vibrant online community, and thorough documentation to assist with any inquiries they may have. As the landscape of embedded Human-Machine Interfaces (HMIs) continues to shift, products are becoming increasingly intelligent and feature-rich, leading consumers to anticipate HMIs that deliver both an interactive experience and straightforward navigation of features. Incorporating a GUI into your offerings enables the creation of devices that are not only more user-friendly and safe but also modern, thereby enhancing the value provided to end users. The essential design principles of GUIs are largely influenced by the ubiquitous smartphone, which sets a high standard for user interaction. With the STM32 family, developers are equipped with the necessary tools to seamlessly integrate smartphone-like GUIs into their embedded devices, ultimately raising the bar for user experiences across various applications. This innovative approach reflects the growing demand for intuitive interfaces in technology today.
Description
Sensory stands at the forefront of implementing embedded neural network-driven speech recognition, establishing itself as the leading entity in the development and optimization of speech recognition software that operates efficiently with limited resources and low MIPS consumption. Their extensive background and ongoing innovations have culminated in the creation of the first embedded large vocabulary continuous-speech recognizer (LVCSR), which rivals the performance of cloud-based systems. In contrast to typical voice recognition applications found in smartphones and mobile devices—like those powered by voice assistants such as Alexa, Google Assistant, Siri, and Cortana—Sensory’s technology is integrated directly into devices, eliminating the need for a Wi-Fi connection. Many users prefer solutions that do not rely on cloud-based systems for high-quality speech recognition, while others look for a hybrid approach that balances client and cloud capabilities for optimal functionality. As concerns regarding privacy, efficiency, and bandwidth escalate, there is a growing trend toward processing data at the edge, which further enhances Sensory’s relevance in the market. This shift not only improves performance but also addresses user demands for greater control over their data.
API Access
Has API
API Access
Has API
Integrations
Altia Design
Candera CGI Studio
EEZ Studio
Nok Nok S3 Authentication
Qt
QuarkLink
embOS
Integrations
Altia Design
Candera CGI Studio
EEZ Studio
Nok Nok S3 Authentication
Qt
QuarkLink
embOS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
STMicroelectronics
Website
www.st.com/content/st_com/en/ecosystems/stm32-graphic-user-interface.html
Vendor Details
Company Name
Sensory
Founded
1994
Country
United States
Website
www.sensory.com/natural-language-understanding/
Product Features
Product Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition