Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Numerous types of unstructured data exist, including call logs, recorded discussions, and indistinct audio. To effectively pinpoint relevant information and discern the speakers, a robust analytical tool is essential. Wynyard Voice Frequency Analytics (VFA) serves as such a tool, facilitating the identification of individuals behind anonymous voices while translating indistinct speech into comprehensible text. This web-based application is invaluable for law enforcement and governmental agencies aiming to thwart criminal activities. Wynyard VFA operates on a straightforward principle of comparing suspected voices against a comprehensive database to establish their identities. Utilizing cutting-edge technology, the application ensures a high degree of accuracy in its results. Furthermore, it is equipped to extract specific keywords or phrases from conversations, thereby enhancing its utility in various contexts. This capability not only aids in criminal investigations but also supports broader applications in data analysis and voice recognition fields.
API Access
Has API
No
API Access
Has API
No
Integrations
Nok Nok S3 Authentication
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Sensory
Founded
1994
Country
United States
Website
www.sensory.com/natural-language-understanding/
Vendor Details
Company Name
Wynyard Group
Country
China
Website
www.wynyardgroup.com/wynyard-voice-frequency-analytics/
Product Features
Speech Recognition
Audio Capture
Yes
Automatic Form Fill
No
Automatic Transcription
Yes
Call Analysis
No
Concatenated Speech
No
Continuous Speech
No
Customizable Macros
No
Multi-Languages
Yes
Specialty Vocabularies
No
Speech-to-Text Analysis
Yes
Variable Frequency
No
Voice Recognition
Yes
Product Features
Speech Recognition
Audio Capture
No
Automatic Form Fill
No
Automatic Transcription
No
Call Analysis
No
Concatenated Speech
No
Continuous Speech
No
Customizable Macros
No
Multi-Languages
No
Specialty Vocabularies
No
Speech-to-Text Analysis
No
Variable Frequency
No
Voice Recognition
No