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Description
Sensory Wake Word is a cutting-edge technology designed for embedded voice-trigger applications, enabling reliable, low-power "hotword" detection for continuously active voice interfaces. The solution features pre-defined wake words that facilitate quick implementation while maintaining consistent performance even in challenging, noisy environments. It boasts a minimal resource footprint, requiring as little as 30-40KB of code on digital signal processors, and offers an always-on and private operation without relying on cloud services. The system is equipped with strong noise rejection capabilities and can be deployed across various platforms, including Windows, Linux, Android, macOS, and real-time operating systems. It is compatible with a diverse range of processing cores, such as ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. With a legacy of over 30 years in embedded voice AI and billions of devices delivered globally to notable clients like Amazon, Apple, Google, BMW, Microsoft, and Samsung, the technology stands as a testament to its reliability and effectiveness. Furthermore, developers can quickly create and test custom wake word models within hours through Sensory's user-friendly VoiceHub self-service portal, empowering them to enhance their projects with tailored voice recognition capabilities.
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
Screenshots View All
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Integrations
Nok Nok S3 Authentication
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
Sensory, Inc.
Founded
1994
Country
United States
Website
sensory.com
Vendor Details
Company Name
Sensory
Founded
1994
Country
United States
Website
www.sensory.com/natural-language-understanding/
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
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
