Resonator Sensor Array for Speaker Recognition
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Solution Overview
Problem
Existing speaker recognition methods require long speech samples and are inefficient in distinguishing speakers due to noise interference, especially when using Fourier transforms and multiple frequency band analysis.
Innovation Solution
A resonator sensor system with multiple resonators of varying frequency bands that calculates the magnitude difference of resonance bands to generate a bitmap of a band gradient, allowing for accurate speaker recognition with short input signals and reduced noise interference by focusing on vowel formants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fourier transform and multiple frequency band analysis are used for speaker recognition, then frequency band information can be analyzed, but time resolution deteriorates and noise interference increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple distinct frequency bands using separate resonators, each tuned to a specific frequency range. This allows simultaneous analysis of different frequency bands without requiring Fourier transform, thereby maintaining both frequency resolution and time resolution. The segmentation approach enables direct extraction of spectral features from short speech segments.
Solution Approach 2:
The patent replaces the mathematical Fourier transform operation with a physical resonance-based filtering system. Multiple resonators with different resonance frequencies physically filter the input signal into distinct frequency bands, substituting computational spectral analysis with mechanical resonance filtering. This substitution eliminates the time-resolution loss inherent in Fourier transform while preserving frequency band information.
2Measurement precision
If long speech samples are used for speaker recognition, then recognition accuracy improves, but processing time and efficiency worsen
Solution Approach 1:
The patent extracts the most discriminative spectral features from short speech samples by focusing on specific frequency bands where speaker characteristics are most prominent. By using resonators to isolate and amplify these critical frequency components, the system achieves accurate speaker recognition without requiring long speech segments, thereby improving processing efficiency while maintaining recognition accuracy.
Solution Approach 2:
The patent changes the analysis approach from time-domain or full-spectrum frequency analysis to resonance-band-specific energy analysis. By measuring the energy distribution across multiple resonant frequency bands rather than analyzing the entire spectrum or long time segments, the system achieves accurate speaker identification from short inputs, improving both speed and accuracy.
3Measurement precision
If multiple frequency band sensors are used for signal filtering, then frequency analysis capability improves, but device complexity increases
Solution Approach 1:
The patent combines multiple resonators with different resonance frequencies into a single integrated sensor array that processes the input signal simultaneously across multiple frequency bands. This merging approach achieves comprehensive spectral analysis capability while maintaining a compact, unified device structure, avoiding the complexity of separate processing systems for each frequency band.
Solution Approach 2:
The patent creates a multi-functional resonator system where each resonator serves dual purposes: it acts as both a frequency-selective filter and an energy detector for its specific frequency band. This universal design allows the same physical component to perform both filtering and measurement functions, reducing overall system complexity while maintaining sophisticated spectrum analysis capability.
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
Enables efficient speaker recognition with short input signals by removing common noise and maintaining frequency band information, improving time resolution and accuracy without the need for Fourier transforms.
Implementation Method 1
a first resonator having a first resonance band, a second resonator having a second resonance band, ..., an n-th resonator having an n-th resonance band
Data Source
Figure 1~2
Figure 3~5
Figure 6~6(d)
AI summary
Provided are a method and device for recognizing a speaker by using a resonator. The method of recognizing the speaker receives electrical signals corresponding to a speech of the speaker from at least some resonators among a plurality of resonators having different resonance bands, calculates a magnitude difference of a resonance band using the electrical signals, and recognizes the speaker using the magnitude difference of the resonance band.