Getting familiar with the technology
What is Audio Front-End?
Audio Front-End (AFE) is an agnostic audio signal processing technology. It is commonly used to facilitate voice-enabled HMI (Human-Machine Interactions) using built-in microphones in today’s electronics.
AFE allows a more accurate recognition of voice commands (far-field or close-field) in any use environment by removing interfering sounds captured by the microphone.
It extracts the user’s voice and cancels out unintended sounds to provide crystal-clear speech recognition and user understanding.
How to use Audio Enhancement (AFE)
Evaluate the audio signal quality and get detailed information to take actions
Upload or directly stream any type of audio file to evaluate its recording quality. In order to best leverage AFE, it is important to have audio files recorded directly where the users will use the voice AI solution.
Audio signal evaluation is based on machine learning algorithms that give an overall score based on noise-signal ratio, echo and audio reliability.
Apply correcting filters to improve the recognition accuracy and quality
When the audio signal quality is poor, there are different solutions that can be used. Most of them would be complicated to operate such as changing all the microphones used. The easiest by far is to apply audio filters to clean the signal as much as possible.
The filters will target the same evaluation step, SNR (signal/noise ratio), RT60 (echo level) and MOS (signal reliability).
Why should you use our
Audio Enhancement solution?
No wifi or network are required to improve audio quality at any time.
No latency for a seamless audio improvement process.
User data stay in the device, unexposed to security issues and transfers.
No hidden fees. We work with the business model that works best for you.
AFE is the perfect addition to any voice-enabled product or service.
Simple to develop and embed across all platforms (windows, linux, android…).
For developers, by developers
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Available for Windows, Android or Linux devices.
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
Requirements & Quick-Start
How to develop with our Audio Enhancement engine?
Our Audio Front-End engine is based on 3 indicators for both the evaluation and the filters.
- Signal-to-Noise Ratio (SNR): measures the signal power to the ambiant noise power, expressing the value in dB or scale (e.g. 1:1).
- Reverberation Time in Room Acousticts (RT60): measures the time it takes after the sound source ceases to reduce the sound pressure level by 60dB.
- Mean Opinion Score (MOS): measure the overall quality of the audio based on human-judgement that is mimicked by machine learning algorithms.
The filters that our AFE engine support are Low-pass, High-pass and Band-pass.
– Language count: Agnostic
– Audio Input : Stream and File Upload
– SDK Code Size: 3MB
– Supported Hardware: Microprocessor Units
– Supported Platforms:
- Windows – x86_64
- Linux – x86_64 | armv7hf | armv8
- Android 6.0 (API 23)
– 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.
Discover other technologies in our stack
Trigger speech recognition process by detecting a unique word or sentence.
Turn human speech into text data that can be processed by complex systems.
Seamlessly identify or authenticate users by recognizing their voice pattern.
Automatically generate life-like voices from text data in multiple languages and aspects.
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