汎仑科技 FANLUN TECH

Overview

Applications

Industry Challenges

Our Solution

Core Capabilities

Customer Value

Overview

End-to-End AI Voice Assistant Solution

With the rapid development of smart homes, smart offices, and companion devices, voice assistants are becoming a key technology for enhancing user experience. However, traditional cloud-based voice processing suffers from issues such as high latency and insufficient privacy protection. Fanlun Technology's intelligent voice assistant integrates advanced voice wake-up (WakeNet), offline voice command recognition (MultiNet), and front-end acoustic algorithms to deliver an efficient, secure, and low-latency local voice interaction experience. The solution not only supports custom wake words and control commands, but can also operate normally when offline, providing users with more reliable service.

Applications

Smart Home

Control smart locks, outlets, air conditioners, and other devices by voice to enable convenient home automation.

Smart Office

Use voice commands to operate office resources, improve efficiency, and create a more advanced workplace experience.

Companion Devices

Deliver interactive entertainment for children and convenient information access for older users while encouraging family interaction.

Industry Challenges

Dependence on Network Connectivity

Traditional voice assistants require Internet access and stop working when offline.

Privacy Concerns

Voice data is uploaded to the cloud for processing, creating risk of leakage.

Slow Response

Cloud processing introduces noticeable delay that harms the user experience.

Difficult Customization

Wake words and control commands are hard to adapt flexibly to user-specific requirements.

High Development Complexity

Integrating multiple speech technologies requires specialized teams and high cost.

Our Solution

End-to-End AI Voice Assistant Solution

The edge-side intelligent voice assistant solution is designed to address the aforementioned pain points and integrates multiple advanced technologies:
Local Voice Wake-Up: Adopts an optimized local wake-up engine, supports up to 5 custom wake words, and offers high recognition accuracy with low resource usage.
Offline Voice Command Recognition: Through an offline command word recognition engine, users can flexibly add or delete custom control commands and bind them to various actions, executing them without an internet connection.
Front-End Acoustic Algorithms: Integrates capabilities such as echo cancellation and noise reduction to ensure accurate recognition of voice commands even in noisy environments.
Lightweight Design: Low memory footprint and fast computation, suitable for deployment on embedded devices.

Core Capabilities

01Technical Advantages

Lightweight architecture with low memory occupancy and high computing efficiency for resource-constrained embedded systems.

Local-only speech processing for stronger security and reduced risk of data leakage.

Low-latency response that avoids delays introduced by network transmission.

Flexible customization of wake words and control commands to match different user and product needs.

02Key Technologies

Wake-word model with only 15 KB to 24 KB of internal RAM usage and CPU load between 9% and 30%.

Front-end acoustic algorithms including microphone-array processing, acoustic echo cancellation, noise reduction, and voice activity detection.

Customer Value

Improved User Experience

Millisecond-level response ensures smooth interaction even when the network is unstable.

Stronger Privacy Protection

All speech processing is performed locally, safeguarding user data.

Simplified Development Process

A complete SDK and sample code reduce integration difficulty and shorten time to market.

Flexible Custom Services

Wake words and control commands can be freely configured for different application scenarios.