Getting familiar with the technology
What is Automatic Speech Recognition?
Automatic Speech Recognition, often referred to as Speech-to-Text or simply Speech Recognition, is the main technology that makes voice a way to interact.
At the pinnacle of voice AI, it merges together complex solutions such as acoustic models, natural language understanding (NLU) or audio signal processing.
This technical stack allows ASR to turn human speech into normalized data (text, intent, values…) that can be processed by complex systems.
Use cases and existing applications
How to leverage ASR in the field?
- Voice-enabled AR glasses
- VR voice typing
- Voice control in headphones
- Voice picking
- Field report dictation
- Voice-enabled quality control
- Smart fridge, oven etc…
- Hands-free Industrial appliance
- Custom/branded voice assistant
- Maintenance assistant
- Voice reporting
- Voice assisted workforce
- Voice-enabled robotics
- Hands-free medical tools
- Human-Machine Interface
- Hands-free military equipment
- Voice-based training solutions
- Specific MRO workflows
How to use offline Automatic Speech Recognition
Voice Dictation (FreeSpeech)
Why should you choose our
Automatic Speech Recognition?
No wifi or network are required to perform advanced speech recognition.
Across different environments, user population or vocabulary complexity.
User data stay in the device, unexposed to security issues and transfers.
Speech processing directly on the device reduces latency to 0.
Business models that adapt to yours, without any hidden-fees.
Simple to develop and embed across all platforms (windows, linux, android…).
Adopting voice AI in your business starts here
Get in touch with our team to shift your company in the Voice First world.
Companies that have chosen our solution
Our customers' feedbacks regarding our solutions
“Vivoka’s technologies have been integrated into our solutions dedicated to Human Factors in industry, guaranteeing performance and data confidentiality.”
Head of the Human Factors Technology Laboratory
"Vivoka’s solutions can run offline, on-device, to operate anywhere, anytime and with a broad language support capability which is for our products a distinct competitive advantage."
Chief Executive Officer (CEO)
"We partnered with Vivoka on several innovative projects on embedded Linux system, and delivered, in a very short time, multi-lingual natural voice interactions fully running “at the edge” to our customers."
VP of Technology
For developers, by developers
Start developing your voice AI solution with the VDK
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Develop and test your use cases
Design, create and try all of your features.
Export and integrate
Available for Windows, Android or Linux devices.
Requirements & Quick-Start
How to develop with our ASR engine?
– On the Device
Fully-embedded voice technology for brands seeking the convenience of a voice user interface without the privacy or connectivity concerns of the internet. Full access to custom commands and the ability to instantly update command codes during development make voice-enabling your product fast and easy.
– On Premise
Get the power of cloud connectivity combined with the reliability of embedded voice technology. On premise (or hybrid) solutions ensure that your device is always-on and responsive to commands. Seamlessly push product updates and deliver a broader voice experience with the level of cloud-connectivity that best matches your product and users.
The ASR we provide are grammar-based recognition engines. It means the recognition’s capabilities are based on a file that includes the different elements to be recognized (numbers, sentences, words, names…).
Our offline Automatic Speech Recognition supports both phonetic edition (changing the way words are understood by the engine) and dynamic data (having flexibility with the grammar content).
The engine currently supports 41 languages.
– Model & Resource Size: 6 to 15MB
– SDK Code Size: 10 to 65MB
– Supported Hardware: Microprocessor Units
– Supported Platforms:
- Windows – x86_64
- Linux – x86_64 | armv7hf | armv8
- Android 6.0 (API 23)
Discover other technologies in our stack
Trigger speech recognition process by detecting a unique word or sentence.
Seamlessly identify or authenticate users by recognizing their voice pattern.
Automatically generate life-like voices from text data in multiple languages and aspects.
Enhance the audio signal quality from voice to boost speech recognition’s accuracy.