What is Knovvu Speech Recognition?
Enhance customer workflows, evaluate agent performance fairly, and ensure that your operations achieve maximum efficiency. In the modern interconnected landscape, users are interacting with their daily smart gadgets in increasingly innovative manners. As the prevalence of connected devices expands, many of these appliances, which typically lack screens, are embracing voice as a natural and intuitive means of interaction. This shift is primarily driven by advancements in speech recognition technology, which is revolutionizing the way people engage with their devices. With Knovvu Speech Recognition from Sestek, machines and applications can accurately understand spoken commands, enabling users to interact verbally rather than depending on physical buttons or keyboards. Our automatic speech recognition software offers versatility and broad applicability. Many businesses are leveraging this technology to develop user-friendly self-service solutions that significantly improve user experience and satisfaction. This progress not only streamlines interactions but also empowers users by offering a more immersive and interactive way to communicate with their devices, ultimately leading to greater overall engagement.
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No integrations listed.
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Company Facts
Company Name:
Sestek
Date Founded:
2000
Company Location:
Turkey
Company Website:
www.sestek.com/speech-recognition-knovvu
Product Details
Deployment
Windows
iPhone
iPad
Android
Training Options
Documentation Hub
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Knovvu Speech Recognition Categories and Features
Speech Recognition Software
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