Voice for Smart Glasses and XR Wearables

On-device voice technologies to empower XR devices, from Smart Glasses or VR Headsets to any Head-Mounted Displays (HMD) with hands-free control, enhanced safety and service reliability.

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Made for wearables

Hands-free interactions thanks to embedded voice AI

The major asset that voice is bringing to XR devices is the ability to interact with them hands-free. In most industrial use cases that we are covering, this is mandatory. Indeed, users have to be able to use equipment at all times, with the minimum safety level that is required.

From the easiest voice navigation features, to the complete voice dictation system, we got you covered.

Available Features

How to turn XR Wearables into voice-enabled devices?

Voice Commands

Ability to completely control the device hands-free.
The technology also allows Dynamic Content Consumer to add flexibility in the amount of recognized voice commands and intents.

Voice Dictation

Text transcription and content spelling (letters/digits…).
Produce long messages, intervention reports or comments as well as spelling a serial key or a licence plate for instance.

Voice Instructions

Life-like voices to carry out instructions to the device’s user.
Hands-free interactions supported by speech synthesis on the device to provide with directions, instructions, reminders…

Microphone Enhancement

Fine-tuning your microphone’s voice recording quality.
Audio Front-End allows to evaluate the recording quality in specific environments (factories, airports…) and apply correcting filters.

For developers, by developers

Try our voice solutions now

1

Sign up first on the Console

Before integrating with VDK, test our online playground: Vivoka Console.

2

Develop and test your use cases

Design, create and try all of your features.

3

Submit your project

Share your project and talk about it with our expert for real integration.

Resources

Learn more about Voice and Smart Glasses

Bringing edge voice capabilities to connected AR Smart Glasses

We gathered AR Smart Glasses experts to discuss with our team about the close relationship between voice and vision technologies. We mashed the whole conversation inside a 30 minute long webinar that offers condensed insights, information and data provided by industry specialists.

Smart glasses miss a voice to rise even more

Smart glasses, on the verge of being adopted by the mass, are still lacking something to make it. As AR and wearables enthusiasts, we deliver our insights.

How voice enhances vision-based wearables?

Head-mounted wearables can’t be used like traditional computers and devices. Voice and Vision need to work together in this objective. Here’s how.

Features and benefits from the VDK

If you are not already sure that the VDK is made for you

Internet Independent

By embedding our solution, your device doesn't need an Internet connection to run. VDK's technologies are designed to operate without requiring connectivity.

Privacy by Design

Our privacy safeguards at the product, algorithm, and business-model level ensure compliance with the strictest data regulations.

Predictable Costs

Master your budget with a clear pricing supporting your innovation and that adapts to the scalability of your project.

Cross-platform

We adapt to all your use cases with versatility, while being compatible with the largest microprocessor and device manufacturers.

Cloud-like accuracy

Performance and accuracy that meet DeepTech standards, all on the device.

Multilingual Conversations

Technologies inside the VDK understand and respond to you naturally in over 60 languages. 

Good morning, Guten Tag, Bonjour, Bom Dia, Buongiorno...

As we already said, language support is not a problem

English

Swedish

Indonesian

Thai

French

Russian

Dutch

Norwegian

Italian

Portuguese

Korean

Polish

German

Arabic

Danish

Ukrainian

Spanish

Hindi

Greek

Turkish

Japanese

Mandarin

Hebrew

Malay

Technical requirements

Key specifications to use the VDK

Language count 41
Model + Resource Size 6 to 15MB
SDK Code Size 10 to 65MB
Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Android 6.0 (API 23)

Hardware supported MPU
Language count 41
Model + Resource Size 6 to 15MB
SDK Code Size 10 to 65MB
Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Android 6.0 (API 23)

Hardware supported MPU
Language count 5
Model + Resource Size 30 to 50MB
Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Android 6.0 (API 23)

Hardware supported MPU
Language count 65
Model + Resource Size <1MB up to 500MB per voice depending on the quality
SDK Code Size 5 to 65MB
Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Android 6.0 (API 23)

Hardware supported MPU
Language count Agnostic
Model + Resource Size <1MB to 20MB
SDK Code Size

<1MB = 50KB / User registered

20MB = 5KB / User registered

Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Android 6.0 (API 23)

Hardware supported MPU
Language count Agnostic
Model + Resource Size None
SDK Code Size 3MB
Platform supported

Windows – x86_64

Linux – x86_64 | armv7hf | armv8

Hardware supported MPU

Get started

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It's always the right time to learn more about voice technologies and their applications