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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.

What is Azure AI Speech?

Accelerate the creation of voice-enabled applications confidently by leveraging the Speech SDK. This powerful tool enables accurate speech-to-text transcription, produces lifelike text-to-speech results, facilitates spoken language translation, and provides speaker recognition capabilities within conversations. You can customize your applications by employing tailored models through Speech Studio. Experience state-of-the-art speech recognition, realistic text-to-speech synthesis, and award-winning speaker identification technology, all while ensuring your data privacy, as no speech input is recorded during processing. Additionally, you can personalize voices, add specific terms to your vocabulary, or craft your own distinctive models. The Speech SDK is versatile enough to be used in various settings, such as cloud platforms and edge containers. With impressive accuracy, you can transcribe audio in more than 92 languages and dialects. This technology enhances customer comprehension via call center transcriptions, improves user experiences with voice-activated assistants, and captures important discussions in meetings, among other applications. Utilize the text-to-speech features to create applications and services that communicate in a natural manner, offering a selection of over 215 voices across 60 languages, which greatly enhances the engagement and versatility of your projects. The combination of these extensive capabilities empowers developers to innovate effortlessly while significantly enhancing user interactions and satisfaction.

Media

Media

Integrations Supported

Integrations Supported

Azure Marketplace
Blabby
Crestwood Cloud
Custom Neural Voice
Fleece AI
Lont
Microsoft 365
Microsoft Azure
OpenAI Whisper
PyGPT
Restack

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Android
iPhone
iPad
Windows

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Sestek

Date Founded

2000

Company Location

Turkey

Company Website

www.sestek.com/speech-recognition-knovvu

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-speech

Categories and Features

Speech Recognition

Audio Capture
Automatic Transcription
Multi-Languages
Speech-to-Text Analysis
Voice Recognition

Categories and Features

AI Voice Generators

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Text to Speech

Not specified

Transcription

Not specified

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