Voice Recognition System Auto-Calibration via Playback Detection

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Solution Overview

Problem

Existing in-vehicle voice recognition systems face challenges in maintaining high signal quality for voice commands, especially in varying acoustic environments, which can distract drivers and complicate the use of vehicle control systems.

Innovation Solution

A method that involves memorizing and playing back an audio frequency signal, detecting it with a microphone, and adjusting the voice recognition system's parameters, such as microphone and speaker amplifier gains, to enhance signal quality and reduce noise interference, allowing for automatic calibration without user training.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual training and adjustment of the voice recognition system is performed, then recognition accuracy can be improved, but the complexity of operation and time required increase

Engineering Contradiction:

Improverecognition accuracyVSAvoidease of adjustment

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The voice recognition system automatically adjusts its own parameters by detecting and analyzing its playback signals, eliminating the need for manual user training or adjustment. The system performs self-calibration by comparing detected playback characteristics against reference values and autonomously optimizing recognition parameters.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs automatic adjustment of recognition parameters before actual voice recognition operations begin. By pre-calibrating the system using playback detection during initialization, the system prepares optimal settings in advance, eliminating the need for subsequent manual training sessions.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If the voice recognition system is adjusted for various acoustic environments, then adaptability improves, but the complexity of the adjustment process increases

Engineering Contradiction:

Improveadaptability to acoustic environmentsVSAvoidcomplexity of adjustment process

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses feedback from the microphone detecting the speaker's playback to automatically adjust recognition parameters. The detected playback signal provides real-time information about the acoustic environment, enabling the system to adapt to different environments through automatic parameter optimization based on detected acoustic characteristics.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system automatically changes recognition parameters such as gain settings and filtering characteristics based on detected playback characteristics. By dynamically adjusting parameters like microphone amplifier gain and speaker amplifier gain, the system adapts to varying acoustic environments without requiring complex manual reconfiguration.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the gain of microphones and speakers is increased to improve signal quality, then noise interference increases

Engineering Contradiction:

Improvesignal qualityVSAvoidnoise interference

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system automatically optimizes gain parameters for both microphones and speakers by detecting playback signals and comparing them against reference characteristics. This automatic parameter adjustment finds the optimal balance between signal quality and noise interference, avoiding the need for manual high-gain settings that would amplify both signal and noise.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system replaces manual mechanical adjustment of gain controls with an automatic electronic parameter optimization process. By using digital signal processing and automatic parameter adjustment algorithms, the system achieves optimal signal-to-noise ratio without requiring users to manually balance microphone and speaker gains, which is difficult to optimize manually.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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

This method enables efficient and automatic adjustment of the voice recognition system, improving recognition accuracy and reducing driver distraction by adapting to different voices and noise levels, thus simplifying the control of vehicle systems while driving.

Implementation Method 1

playing back the audio frequency signal by means of the speaker

Methodology Applied

Scientific EffectElectroacoustic transduction:

Implementation Method 2

generating a detection signal by detecting the audio frequency signal by means of the microphone

Methodology Applied

Scientific EffectAcoustic transduction:

Data Source

PatentUS10115392B2Method for adjusting a voice recognition system comprising a speaker and a microphone, and voice recognition system

Publication Date: 2018.10.30 VISTEON GLOBAL TECHNOLOGIES INC

AI summary

A method for adjusting a voice recognition system and a voice recognition system is disclosed, wherein the voice recognition system comprises a speaker and a microphone, and wherein the method comprises the steps of:memorizing an audio frequency signal,playing back the audio frequency signal by means of the speaker,generating a detection signal by detecting the audio frequency signal by means of the microphone, andadjusting parameters of the voice recognition system dependent on the detection signal.