Wearable Earphone Voice Pickup for Cloud AI Processing

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Solution Overview

Problem

Existing Echo Dot devices have poor sound pickup capabilities, especially in noisy environments, and require users to be close for effective voice command recognition, leading to inconvenient user experiences.

Innovation Solution

A portable AI voice interaction system comprising an earphone that converts user voice to digital signals via analog-to-digital conversion and transmits them wirelessly to a body device, which sends them to a cloud server for voice recognition and semantic analysis, allowing for accurate command processing and voice broadcasting without the need for high data processing capabilities in the device.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If Echo Dot uses a built-in microphone array, then the device can recognize voice commands, but the sound pickup capability deteriorates in noisy environments and at distances

Engineering Contradiction:
Improvevoice recognition accuracyVSAvoidnoise interference and distance limitation
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the voice pickup function from the Echo Dot device itself and relocates it to a separate wearable device (earphone or collar microphone). This allows the main device to focus on processing while the wearable component handles sound acquisition close to the user's mouth, effectively removing the limitation of the built-in microphone array's poor pickup capability.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces a wearable intermediary device (earphone or collar microphone) that acts as a mediator between the user's voice and the Echo Dot processing system. This intermediary captures voice signals directly near the user's mouth, providing clear audio input to the processing device while being isolated from environmental noise.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Speed

If Echo Dot processes voice data locally, then the device can respond quickly, but the device complexity and data processing capability requirements increase

Engineering Contradiction:
Improvevoice command response speedVSAvoiddata processing capability requirements
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent segments the voice processing system into two parts: a simple wearable device for voice capture and transmission, and a cloud-based processing system for comprehensive analysis. This segmentation allows complex processing to occur in the cloud while keeping the local device simple and responsive.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a cloud-based processing intermediary that handles the complex voice recognition and command interpretation tasks. This allows the local Echo Dot device to remain relatively simple while still achieving accurate and comprehensive voice command processing through the cloud intermediary.

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system provides improved sound pickup and accurate voice recognition, enhancing user experience by allowing voice commands to be recognized from a distance and in noisy conditions, while reducing device costs through cloud-based processing.

Implementation Method 1

an earphone acquiring a user voice, performing an analog-to-digital conversion on the user voice to obtain a digital voice signal

Methodology Applied
Scientific EffectAnalog-to-digital conversion:

Data Source

PatentUS11158318B2AI voice interaction method, device and system
Publication Date: 2021.10.26 SHENZHEN AUKEY SMART INFORMATION TECH CO LTD
  • US11158318B2 patent drawing
  • US11158318B2 patent drawing
  • US11158318B2 patent drawing

AI summary

The present disclosure provides an AI voice interaction method, including: an earphone acquiring a user voice; a body receiving a digital voice signal sent by the earphone through a wireless communication, and sending the digital voice signal through mobile data or WiFi to a cloud server; the cloud server performing a voice recognition and semantic analysis on the digital voice signal; the body making a call or sending network data to the body according to the analysis result, to make the earphone perform a corresponding voice broadcast according to the network data. Accordingly, the present disclosure also provides an AI voice interaction device and system.