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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
Machine learning-driven speech technologies enable the development of voice assistants, streamline call center operations, and enhance service quality monitoring among various other applications. Utilize the cutting-edge technology that powers the highly acclaimed Alice voice assistant, now available for your organization. In mere moments, SpeechKit can precisely interpret speech, facilitating swift and seamless communication for our clients' voice assistants. You can select the version that best meets your needs; the comprehensive version builds an intelligent voice assistant, while the adaptive version can provide your brand with a distinct voice within just a month. This solution caters to the most exacting clients who require oversight of speech processing and synthesis within their own systems. SpeechKit’s machine learning models are now ready to be implemented in your infrastructure, with options for both hybrid configurations and completely on-premise deployments suitable for sensitive data. Furthermore, the service is capable of recognizing audio formats such as MP3, LPCM, and OggOpus, ensuring versatility in audio processing. This wide array of options allows businesses to tailor their speech technology solutions to their specific operational needs effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Azure Marketplace
Yandex Cloud
Yandex SpeechSense
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.000020 per unit
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
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/speechkit
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