Kardome

Kardome Voice User Interface Technology

Kardome offers an all-in-one AI-powered solution for manufacturers and OEMs to elevate speech recognition on voice-enabled devices. By deploying on-device neural network-based processing, Kardome improves accuracy in real-world, noisy environments and enables secure, real-time customization without relying on the cloud.

Overview

• Provides a suite of technologies designed to hear clearly in challenging soundscapes and deliver robust voice UI experiences on smart devices.
• Focuses on on-device processing for privacy, low latency, and offline capability.
• Targets automotive, healthcare, consumer electronics, and other industries requiring reliable voice interaction.

How It Works

• Advanced neural network models enhance and isolate speech, reducing background noise.
• Multi-speaker scenarios are supported with real-time separation and accurate speaker handling.
• Edge/on-device implementation ensures privacy and lower latency, without depending on cloud services.

Key Technologies and Features

• Audio Front End: Clear Voice Inputs by removing background noise to improve intelligibility.
• Spatial Listening: Real-time isolation of target speech from multiple speakers for high-precision recognition.
• Kardome Mobility: Crystal-clear hands-free conversations in vehicles, with multi-seat and multi-speaker support.
• MyWord: Personalized wake words that adapt to different contexts and devices, while operating offline.
• Voice ID: Secure voice biometrics with high accuracy in challenging environments, suitable for embedded systems.
• Multi-speaker VUI: Capable of recognizing and processing speech from multiple speakers with speaker identification.
• Offline/Edge Deployment: Fully offline operation to preserve privacy and reduce latency and power use.

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How to Use Kardome Technology

1. Integrate Kardome on-device modules into your voice-enabled device.
2. Configure wake words (MyWord) and voice biometrics (Voice ID) as needed.
3. Enable Audio Front End and Spatial Listening to improve speech capture in noisy environments.
4. Deploy multi-speaker VUI to handle conversations in cars or shared spaces with accurate speaker isolation.

Use Cases

• Automotive voice assistants with robust in-car recognition across multiple passengers.
• Consumer devices requiring private, offline wake words and voice controls.
• Industrial or healthcare devices where precise speech understanding is critical in noisy settings.

Safety and Privacy Considerations

• On-device processing minimizes data transfer and preserves user privacy.
• Biometric voice data should be handled per applicable regulations and best practices for security.

Core Features

• On-device neural network-based speech processing for real-time recognition
• Audio Front End for noise reduction and clearer voice input
• Spatial Listening for multi-speaker speech isolation
• Mobility-tailored solutions for in-vehicle voice interaction
• Personalized wake words (MyWord) with offline operation
• Secure voice biometrics (Voice ID) with high accuracy on embedded hardware
• Multi-speaker VUI with accurate speaker identification
• Fully offline/edge deployment to reduce latency and protect privacy