Neck-worn Voice Analyzer Microphone Arrangement Recognition
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Solution Overview
Problem
Existing voice analyzers face challenges in accurately identifying speakers and measuring face-to-face angles in conversational scenarios, particularly when worn by users, due to limitations in microphone placement and sound pressure analysis.
Innovation Solution
A voice analyzer system with a terminal apparatus and host apparatus configuration, utilizing multiple microphones and amplifiers to differentiate between the wearer's voice and others' voices based on sound pressure ratios and time differences, and correcting for microphone arrangement recognition using heart sound pressure comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple microphones are used to identify speakers and measure face-to-face angles, then speaker recognition accuracy and angle measurement precision are improved, but device complexity and difficulty of detecting microphone arrangement increase
Solution Approach 1:
The system automatically detects the microphone arrangement by analyzing heart sound signals captured by the microphones themselves. The arrangement recognition unit uses the acoustic characteristics of heart sounds to determine which microphone is positioned closer to the wearer's body, enabling self-calibration without external intervention or manual configuration.
Solution Approach 2:
Heart sounds serve as an intermediary reference signal to detect microphone arrangement. By using the wearer's own heart sounds as a known acoustic source, the system can infer microphone positions relative to the body without requiring external calibration equipment or manual input.
2Reliability
If microphone arrangement is not correctly recognized, then speaker identification and face-to-face angle measurement become inaccurate, but adding arrangement recognition increases processing complexity
Solution Approach 1:
The system performs self-calibration by automatically detecting microphone arrangement through analysis of heart sound signals. The arrangement recognition unit processes the acoustic data to determine microphone positions, enabling the system to self-correct without external intervention or manual configuration.
Solution Approach 2:
The system uses feedback from heart sound analysis to continuously monitor and correct microphone arrangement detection. By comparing the acoustic characteristics of heart sounds with expected patterns, the system can identify and correct arrangement errors, ensuring accurate speaker identification and angle measurement.
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
Effectively identifies speakers and measures face-to-face angles with improved accuracy by using distinct sound pressure ratios and time differences, reducing errors in speaker recognition and angle calculation.
Implementation Method 1
a first voice acquisition unit that acquires a voice of a speaker and that, when the strap is hung on the neck of the wearer, is disposed in either a left strap or a right strap when viewed from the wearer; a second voice acquisition unit that acquires the voice of the speaker and that, when the strap is hung on the neck of the wearer, is disposed in the opposite strap in which the first voice acquisition unit is disposed
Data Source
AI summary
A voice analyzer includes an apparatus body, a strap that is connected to the apparatus body to make the apparatus body hung from a neck of a wearer, a first voice acquisition unit that acquires a voice of a speaker and is disposed in either a left or right strap when viewed from the wearer, a second voice acquisition unit that acquires the voice of the speaker and is disposed in the opposite strap in which the first voice acquisition unit is disposed, and an arrangement recognition unit that recognizes arrangements of the first and second voice acquisition units, when viewed from the wearer, by comparing a voice signal of the voice acquired by the first voice acquisition unit with sound pressure of a heart sound of the wearer acquired by the second voice acquisition unit.